M'hamed AIT KBIR - Academia.edu (original) (raw)
Papers by M'hamed AIT KBIR
Lecture notes in networks and systems, 2023
Lecture notes in networks and systems, 2023
The web contains huge volume of information related to complementary and alternative medicine. Ho... more The web contains huge volume of information related to complementary and alternative medicine. However, healthcare recommendation with medicinal plants has become complicated because tremendous and precious information about medicinal resources are available now. Moreover, the existing scientific search engines are not quite efficient and require excessive manual processing. As a result, the search for accurate and reliable data about herbal plants has become a highly difficult and time-consuming task for scientists. Till date, a wide mapping of already available data concerning herbal plants hasn't been carried out. In this regard, the complementary and alternative medicine collection tracking system (Hirbalink) introduced in this work was created for the purpose of organizing and storing related data.
Lecture notes in networks and systems, 2021
Proceedings of the 4th International Conference on Smart City Applications, Oct 2, 2019
We propose a watermarking scheme, which uses the content of the image and with the help of corner... more We propose a watermarking scheme, which uses the content of the image and with the help of corners decomposition method. In this work, the Harris corner detector is used for getting image corner points, which are combined, with a rectangle decomposition method to have a set of rectangular insertion blocks. The proposed scheme can devise into two steps. The embedding step that aims to include one bit of message on each calculated image rectangle, in the end of the insertion step we obtain the watermarked image that includes the full message. The detection step is the inverse process of the first step, where the watermark is extracted and the message decoded from the watermarked image. After a benchmark test, we got an encouraged result. Then we arrive to detect 100% of message embedded (embedded between 9 to 20 bits) in various images without altering the visual quality of the original images (PSNR up than 53dB), and with low algorithm complexity (0.3 second as average in the embedding scheme).
Proceedings of the 4th International Conference on Smart City Applications, Oct 2, 2019
In recent years, the world of computer graphics has made tremendous progress. Several 3D model vi... more In recent years, the world of computer graphics has made tremendous progress. Several 3D model visualization techniques have emerged and have been introduced in the hardware's. The machines on which are realized the 3D visualization have also evolved. We do not need expensive computers to see a world in 3D; a simple computer can do the trick. This evolution has also created a demand for visualizing models that are more complex and realistic. Historically, research has focused on the development of 3D information and acquisition techniques from scenes and objects. Demand has grown more in the field of computer graphics, virtual reality and communication. Acquiring 3D information's from real objects in a scene requires intricate calibration procedures every time the system is used. In addition, the use of these acquisition systems requires expertise by their users. This creates a significant demand for flexibility in acquisitions. These procedures must be absent or limited to a minimum. Because of these different factors, many techniques have been developed in recent years. Many of them only need a simple camera and a computer to be able to acquire 3D images.
In this paper, we present the usage of watermarking techniques in medical imaging, and especially... more In this paper, we present the usage of watermarking techniques in medical imaging, and especially for security goals, the watermarking is considered a great solution to protect the personal data of patients during the medical images and telemedicine data exchange. This paper is devised in two parts. The first one is reserved for an overview on image watermarking with a presentation of the most important requirements of watermarking (robustness, imperceptibility and capacity). We offer also the general scheme of watermarking with the two essential phases and different types of attacks. Furthermore, we present a classification of watermarking techniques based on various parameters such as: insertion domain, human perception and detection methods, in the end of the section we display some metrics and benchmarks for analysis the performance of the watermarking technique. The second part is reserved for the usage of watermarking techniques in medical imaging especially for integrity verification, authentication and data hiding, we also discuss a literature review on watermarking techniques for medical image. In addition, we present the concept of telemedicine and telehealth fields and the importance of watermarking in the modern health care.
Microarray technology is an innovative technology, which has brought changes to the biological fi... more Microarray technology is an innovative technology, which has brought changes to the biological fields. It is considered as an interesting advent for worthwhile researches. It has permitted simultaneous measurements of the hundreds of activities of genes. However, most of users and specifically researchers and biologists find difficulties while extracting and interpreting this kind of data, also the results of Microarray experiments are stored in multiple and different databases. The present paper focuses on providing a global architecture for making decisions on Microarray data, by taking advantages from the semantic web technologies and the data mining techniques. The major goal consists on getting decisions about a given disease from many experiment data distributed on many sources over the net. The input dataset, real elements array form, is retrieved from the integrated experiments designed for cancer studies. This work is interested to two huge Microarray databases: GEO and ArrayExpress. The integration was based on semantic web technologies used to integrate data from several Web sites and Microarray data sources. This can be done by a user to combine several experiments that treat the same disease or phenomenon in order to have more significant results. Also a user can upload a specific dataset, via Web services provided by a laboratory, that can be combined with other data, containing the same genes and treating the same disease, and receive results of data mining techniques proposed by this laboratory. We suppose that each laboratory has its own Web services that can receive data which respects a predefined format.
The appearance of the Microarray technology has attracted the scientific community and industry; ... more The appearance of the Microarray technology has attracted the scientific community and industry; with its ability of measuring simultaneously the activity and interactions of thousands of genes. This advanced technology was applied for enormous issues such as drug discovery, gene discovery, diagnosis and prognosis of disease and toxicological research. Despite the fact that Microarray applications have known birth in many biological studies, the handling and analysis of the data obtained are not trivial tasks. For these reasons, it has been focused on the present paper on the PCA classification technique and Neural Network for Microarray data; in the object of reducing the large data and producing informative results. The methodology proposes an approach based on MLP neural network to resolve the problem of lung cancer classification based on Microarray data. The approach consists on data reduction by using the PCA Technique, followed by a classification based on MLP network, feed-forward neural network known by its stable learning. The effectiveness of the implemented method was evaluated by measuring the correct classification rate performed on lung cancer gene expression dataset and compared to results obtained by other methods that use the same data.
Lecture notes in intelligent transportation and infrastructure, 2020
In this paper, we suggest a new watermarking scheme. The purpose of this technique is based on im... more In this paper, we suggest a new watermarking scheme. The purpose of this technique is based on image content description and specifically the corner points. In our proposed scheme, Harris detector is used for get some corner points, which are united with a rectangle decomposition method in order to get a set of insertion blocks and to bind the watermark with the image content. The proposed scheme is divided into two phases: The embedding scheme, where we embed the watermark into the original image (one bit of message in each rectangle insertion block) to get the watermarked image. The extracting scheme is the reverse phase that aims to extract the embedded message from the watermarked image. The experimental results demonstrate that the proposed scheme preserves the image visual quality (PSNR up than 53 dB) and with less algorithm complexity (0.3 s as average) and we arrive to detect 100% of message embedded (messages between 9 to 20 bits) in various images.
Lecture notes in intelligent transportation and infrastructure, 2019
The development of CMOS cameras and Microphones has allowed the creation of WMSN (Wireless Multim... more The development of CMOS cameras and Microphones has allowed the creation of WMSN (Wireless Multimedia Sensor Network). It transmits multimedia content like video, Image and sound through the network. Therefore, it becomes an important field of research. Actually, a variety of application domains (medical, surveillance, military etc.) depend on WMSN. In fact, sensor nodes in WMSN use many components to achieve a successful transmission either physical such as equipment, or logical such as video compression techniques. In fact, the video compression plays an important role in the transmission process. The aim of this paper is to compare the behavior of the two routing protocols Multipath routing ring and GPSR in transferring videos and images using Omnet ++/Castalia. During this work, we will find statistics about energy consumption, lost packets and quality of received videos. In fact, simulations showed that GPSR routing protocol consumes less energy and deliver video stream with better quality.
International Journal of Advanced Computer Science and Applications
The market competition and the high cost of acquiring new customers have led financial organizati... more The market competition and the high cost of acquiring new customers have led financial organizations to focus more and more on effective customer retention strategies. Although the banking and financial sectors have low churn rates compared to other sectors, the impact on profitability related to losing a customer is comparatively high. Thereby, customer turnover management and analysis play an essential part for financial organizations in order to improve their long-term profitability. Recently, it appears that using machine learning to predict churning improves customer retention strategies. In this work, we discuss some specific machine learning models proposed in the literature that deal with this problem and compare them with some emerging models, based on Ensemble learning algorithms. As a result, we build a predictive churn approaches that look at the customer history data, check to see who is active after a certain time and then create models that identify stages where a customer can leave the concerned company service. Ensemble learning algorithms are also used to find relevant features in order to reduce their number which is of great importance when performing the training step with some classical models such us Multi-Layer Perception Neural networks. The proposed approaches can achieve up to 89% in accuracy when other research works, dealing with the same dataset, can achieve less than 86%.
E3S Web of Conferences
CNN (convolutional neural networks) are a category of neural networks that are majorly used for i... more CNN (convolutional neural networks) are a category of neural networks that are majorly used for image classification and recognition. This Deep Learning (DL) technique is used to solve complex problems, particularly for environmental protection, its approaches have affected several domains without exception, geospatial world is one vised domain. In this paper we aim to classify aerial images of Tangier region, city located in north of Morocco, by using pixel based image classification with convolutional Neural Networks. Flickr API is used to get our test images dataset. These images are used as input to a pretrained network Resnet18, a small convolution neural network architecture, which is able to recognize 21 land use classes of images. Our methodology is based on the following steps, first we set up the data, and then we re-train the cited Deep Learning model (Transfer Learning) and perform a quick and visual verification, by generating a labeled map from the geotagged images, la...
E3S Web of Conferences
In this paper, we introduce a prediction algorithm that will determine the likelihood that a clie... more In this paper, we introduce a prediction algorithm that will determine the likelihood that a client will purchase from a website or not. This system is part of a global e-commerce solution that will help the clients to get the best possible experience. The paper presents an overview of the e-commerce system’s various components and their various steps and also an activity diagram of the system, which shows the various steps that the platform can perform. It also provides a general idea of the system’s workflow.
The Nowadays, Networks in biology gained a lot of attention, due to recent advances in biological... more The Nowadays, Networks in biology gained a lot of attention, due to recent advances in biological technologies. The massive data produced with these novel techniques allowed us to perform deep analysis on cells and understand its functional system. In addition, the combination of data integration methods with analytical approaches, which consists of representing biological data as networks and make it possible to perform analytical approaches to formulate hypotheses and get accurate conclusions, is improving the results obtained from biological network analysis. In the following sections, we are going to give a general description of biological networks, especially how to interpret data inside a network and extract valuable information’s, we’ll talk about some general concepts of biological networks taxonomy including pathways, interactions, and similarity between network entities. Furthermore, we will present the core concepts of analytical approaches for biological network analysi...
Proceedings of the 3rd International Conference on Smart City Applications, 2018
Nowadays, recent technologies in biology has gained a lot of attention, because of the massive da... more Nowadays, recent technologies in biology has gained a lot of attention, because of the massive data they produced with different types, very complex structures and various interaction categories. They allowed to perform deep analysis on cell structure and it's sub-system. Moreover, They enabled construction of complex networks that represent the extracted data and the mutual interactions between biological entities of diverse types. However, most of users, especially researchers and biologists, find it difficult to do their experiments on a set of data of various types stored in multiple databases. In this paper, we present the state of the art for data integration based on collective mining, using various types of networked biological data. Moreover, we propose a new approach to make it possible to integrate heterogeneous data in the MicroCancer platform, recently developed by our laboratory, to deal with micro-array data.
International Journal of Advanced Computer Science and Applications, 2019
Since the stimulation of both feelings of need and temptation have become excessive with the spre... more Since the stimulation of both feelings of need and temptation have become excessive with the spread of internet advertising, the e-consumer have begun to feel increasingly lost and overwhelmed by offers in a purchasing cycle whose process is mostly unstructured, unguided, and unassisted or-in other words-non user-friendly. As a result, he displays a confused and suspicious attitude and desperately turns to the comparison shopping engines (CSEs) to save time and identify the best matching offer for his search request. Thus, the article in question serves as an investigation of the comparison shopping engines to know if they are up to the task of satisfying the needs of the e-consumer. This study adopts an exploratory approach about the history of online shopping engines, their operating modes, categories, and business plans as well as how they are perceived, used and evaluated. Then, a detailed identification of the various shortcomings that CSEs manifest on the side of both e-consumers and e-merchants was presented in order to eventually discuss the numerous innovations and scientific research which have been developed on the subject.
E3S Web of Conferences
Nowadays, data integration methods have been widely used to build models and to represent interac... more Nowadays, data integration methods have been widely used to build models and to represent interactions between the data. They are showing high efficiency. Recent technologies permitted the research community to perform complex analysis on cell structures and it’s functioning system. The tremendous amount of data collected from a biological system encouraged the exploration of new hypothesis. However, the manipulation of heterogenous data require additional efforts to find the model that handles perfectly data of different type. In this paper we present our method to create a unified model and to integrate gene-disease interactions. We will talk about stat of the art methods in data integration, and how we built our network based on omics layers. Moreover, we will present the overall framework we followed to extract important interactions by visually interpreting the generated graph, and the betweenness centrality of nodes. We compared our findings to the medical literature to explai...
Lecture notes in networks and systems, 2023
Lecture notes in networks and systems, 2023
The web contains huge volume of information related to complementary and alternative medicine. Ho... more The web contains huge volume of information related to complementary and alternative medicine. However, healthcare recommendation with medicinal plants has become complicated because tremendous and precious information about medicinal resources are available now. Moreover, the existing scientific search engines are not quite efficient and require excessive manual processing. As a result, the search for accurate and reliable data about herbal plants has become a highly difficult and time-consuming task for scientists. Till date, a wide mapping of already available data concerning herbal plants hasn't been carried out. In this regard, the complementary and alternative medicine collection tracking system (Hirbalink) introduced in this work was created for the purpose of organizing and storing related data.
Lecture notes in networks and systems, 2021
Proceedings of the 4th International Conference on Smart City Applications, Oct 2, 2019
We propose a watermarking scheme, which uses the content of the image and with the help of corner... more We propose a watermarking scheme, which uses the content of the image and with the help of corners decomposition method. In this work, the Harris corner detector is used for getting image corner points, which are combined, with a rectangle decomposition method to have a set of rectangular insertion blocks. The proposed scheme can devise into two steps. The embedding step that aims to include one bit of message on each calculated image rectangle, in the end of the insertion step we obtain the watermarked image that includes the full message. The detection step is the inverse process of the first step, where the watermark is extracted and the message decoded from the watermarked image. After a benchmark test, we got an encouraged result. Then we arrive to detect 100% of message embedded (embedded between 9 to 20 bits) in various images without altering the visual quality of the original images (PSNR up than 53dB), and with low algorithm complexity (0.3 second as average in the embedding scheme).
Proceedings of the 4th International Conference on Smart City Applications, Oct 2, 2019
In recent years, the world of computer graphics has made tremendous progress. Several 3D model vi... more In recent years, the world of computer graphics has made tremendous progress. Several 3D model visualization techniques have emerged and have been introduced in the hardware's. The machines on which are realized the 3D visualization have also evolved. We do not need expensive computers to see a world in 3D; a simple computer can do the trick. This evolution has also created a demand for visualizing models that are more complex and realistic. Historically, research has focused on the development of 3D information and acquisition techniques from scenes and objects. Demand has grown more in the field of computer graphics, virtual reality and communication. Acquiring 3D information's from real objects in a scene requires intricate calibration procedures every time the system is used. In addition, the use of these acquisition systems requires expertise by their users. This creates a significant demand for flexibility in acquisitions. These procedures must be absent or limited to a minimum. Because of these different factors, many techniques have been developed in recent years. Many of them only need a simple camera and a computer to be able to acquire 3D images.
In this paper, we present the usage of watermarking techniques in medical imaging, and especially... more In this paper, we present the usage of watermarking techniques in medical imaging, and especially for security goals, the watermarking is considered a great solution to protect the personal data of patients during the medical images and telemedicine data exchange. This paper is devised in two parts. The first one is reserved for an overview on image watermarking with a presentation of the most important requirements of watermarking (robustness, imperceptibility and capacity). We offer also the general scheme of watermarking with the two essential phases and different types of attacks. Furthermore, we present a classification of watermarking techniques based on various parameters such as: insertion domain, human perception and detection methods, in the end of the section we display some metrics and benchmarks for analysis the performance of the watermarking technique. The second part is reserved for the usage of watermarking techniques in medical imaging especially for integrity verification, authentication and data hiding, we also discuss a literature review on watermarking techniques for medical image. In addition, we present the concept of telemedicine and telehealth fields and the importance of watermarking in the modern health care.
Microarray technology is an innovative technology, which has brought changes to the biological fi... more Microarray technology is an innovative technology, which has brought changes to the biological fields. It is considered as an interesting advent for worthwhile researches. It has permitted simultaneous measurements of the hundreds of activities of genes. However, most of users and specifically researchers and biologists find difficulties while extracting and interpreting this kind of data, also the results of Microarray experiments are stored in multiple and different databases. The present paper focuses on providing a global architecture for making decisions on Microarray data, by taking advantages from the semantic web technologies and the data mining techniques. The major goal consists on getting decisions about a given disease from many experiment data distributed on many sources over the net. The input dataset, real elements array form, is retrieved from the integrated experiments designed for cancer studies. This work is interested to two huge Microarray databases: GEO and ArrayExpress. The integration was based on semantic web technologies used to integrate data from several Web sites and Microarray data sources. This can be done by a user to combine several experiments that treat the same disease or phenomenon in order to have more significant results. Also a user can upload a specific dataset, via Web services provided by a laboratory, that can be combined with other data, containing the same genes and treating the same disease, and receive results of data mining techniques proposed by this laboratory. We suppose that each laboratory has its own Web services that can receive data which respects a predefined format.
The appearance of the Microarray technology has attracted the scientific community and industry; ... more The appearance of the Microarray technology has attracted the scientific community and industry; with its ability of measuring simultaneously the activity and interactions of thousands of genes. This advanced technology was applied for enormous issues such as drug discovery, gene discovery, diagnosis and prognosis of disease and toxicological research. Despite the fact that Microarray applications have known birth in many biological studies, the handling and analysis of the data obtained are not trivial tasks. For these reasons, it has been focused on the present paper on the PCA classification technique and Neural Network for Microarray data; in the object of reducing the large data and producing informative results. The methodology proposes an approach based on MLP neural network to resolve the problem of lung cancer classification based on Microarray data. The approach consists on data reduction by using the PCA Technique, followed by a classification based on MLP network, feed-forward neural network known by its stable learning. The effectiveness of the implemented method was evaluated by measuring the correct classification rate performed on lung cancer gene expression dataset and compared to results obtained by other methods that use the same data.
Lecture notes in intelligent transportation and infrastructure, 2020
In this paper, we suggest a new watermarking scheme. The purpose of this technique is based on im... more In this paper, we suggest a new watermarking scheme. The purpose of this technique is based on image content description and specifically the corner points. In our proposed scheme, Harris detector is used for get some corner points, which are united with a rectangle decomposition method in order to get a set of insertion blocks and to bind the watermark with the image content. The proposed scheme is divided into two phases: The embedding scheme, where we embed the watermark into the original image (one bit of message in each rectangle insertion block) to get the watermarked image. The extracting scheme is the reverse phase that aims to extract the embedded message from the watermarked image. The experimental results demonstrate that the proposed scheme preserves the image visual quality (PSNR up than 53 dB) and with less algorithm complexity (0.3 s as average) and we arrive to detect 100% of message embedded (messages between 9 to 20 bits) in various images.
Lecture notes in intelligent transportation and infrastructure, 2019
The development of CMOS cameras and Microphones has allowed the creation of WMSN (Wireless Multim... more The development of CMOS cameras and Microphones has allowed the creation of WMSN (Wireless Multimedia Sensor Network). It transmits multimedia content like video, Image and sound through the network. Therefore, it becomes an important field of research. Actually, a variety of application domains (medical, surveillance, military etc.) depend on WMSN. In fact, sensor nodes in WMSN use many components to achieve a successful transmission either physical such as equipment, or logical such as video compression techniques. In fact, the video compression plays an important role in the transmission process. The aim of this paper is to compare the behavior of the two routing protocols Multipath routing ring and GPSR in transferring videos and images using Omnet ++/Castalia. During this work, we will find statistics about energy consumption, lost packets and quality of received videos. In fact, simulations showed that GPSR routing protocol consumes less energy and deliver video stream with better quality.
International Journal of Advanced Computer Science and Applications
The market competition and the high cost of acquiring new customers have led financial organizati... more The market competition and the high cost of acquiring new customers have led financial organizations to focus more and more on effective customer retention strategies. Although the banking and financial sectors have low churn rates compared to other sectors, the impact on profitability related to losing a customer is comparatively high. Thereby, customer turnover management and analysis play an essential part for financial organizations in order to improve their long-term profitability. Recently, it appears that using machine learning to predict churning improves customer retention strategies. In this work, we discuss some specific machine learning models proposed in the literature that deal with this problem and compare them with some emerging models, based on Ensemble learning algorithms. As a result, we build a predictive churn approaches that look at the customer history data, check to see who is active after a certain time and then create models that identify stages where a customer can leave the concerned company service. Ensemble learning algorithms are also used to find relevant features in order to reduce their number which is of great importance when performing the training step with some classical models such us Multi-Layer Perception Neural networks. The proposed approaches can achieve up to 89% in accuracy when other research works, dealing with the same dataset, can achieve less than 86%.
E3S Web of Conferences
CNN (convolutional neural networks) are a category of neural networks that are majorly used for i... more CNN (convolutional neural networks) are a category of neural networks that are majorly used for image classification and recognition. This Deep Learning (DL) technique is used to solve complex problems, particularly for environmental protection, its approaches have affected several domains without exception, geospatial world is one vised domain. In this paper we aim to classify aerial images of Tangier region, city located in north of Morocco, by using pixel based image classification with convolutional Neural Networks. Flickr API is used to get our test images dataset. These images are used as input to a pretrained network Resnet18, a small convolution neural network architecture, which is able to recognize 21 land use classes of images. Our methodology is based on the following steps, first we set up the data, and then we re-train the cited Deep Learning model (Transfer Learning) and perform a quick and visual verification, by generating a labeled map from the geotagged images, la...
E3S Web of Conferences
In this paper, we introduce a prediction algorithm that will determine the likelihood that a clie... more In this paper, we introduce a prediction algorithm that will determine the likelihood that a client will purchase from a website or not. This system is part of a global e-commerce solution that will help the clients to get the best possible experience. The paper presents an overview of the e-commerce system’s various components and their various steps and also an activity diagram of the system, which shows the various steps that the platform can perform. It also provides a general idea of the system’s workflow.
The Nowadays, Networks in biology gained a lot of attention, due to recent advances in biological... more The Nowadays, Networks in biology gained a lot of attention, due to recent advances in biological technologies. The massive data produced with these novel techniques allowed us to perform deep analysis on cells and understand its functional system. In addition, the combination of data integration methods with analytical approaches, which consists of representing biological data as networks and make it possible to perform analytical approaches to formulate hypotheses and get accurate conclusions, is improving the results obtained from biological network analysis. In the following sections, we are going to give a general description of biological networks, especially how to interpret data inside a network and extract valuable information’s, we’ll talk about some general concepts of biological networks taxonomy including pathways, interactions, and similarity between network entities. Furthermore, we will present the core concepts of analytical approaches for biological network analysi...
Proceedings of the 3rd International Conference on Smart City Applications, 2018
Nowadays, recent technologies in biology has gained a lot of attention, because of the massive da... more Nowadays, recent technologies in biology has gained a lot of attention, because of the massive data they produced with different types, very complex structures and various interaction categories. They allowed to perform deep analysis on cell structure and it's sub-system. Moreover, They enabled construction of complex networks that represent the extracted data and the mutual interactions between biological entities of diverse types. However, most of users, especially researchers and biologists, find it difficult to do their experiments on a set of data of various types stored in multiple databases. In this paper, we present the state of the art for data integration based on collective mining, using various types of networked biological data. Moreover, we propose a new approach to make it possible to integrate heterogeneous data in the MicroCancer platform, recently developed by our laboratory, to deal with micro-array data.
International Journal of Advanced Computer Science and Applications, 2019
Since the stimulation of both feelings of need and temptation have become excessive with the spre... more Since the stimulation of both feelings of need and temptation have become excessive with the spread of internet advertising, the e-consumer have begun to feel increasingly lost and overwhelmed by offers in a purchasing cycle whose process is mostly unstructured, unguided, and unassisted or-in other words-non user-friendly. As a result, he displays a confused and suspicious attitude and desperately turns to the comparison shopping engines (CSEs) to save time and identify the best matching offer for his search request. Thus, the article in question serves as an investigation of the comparison shopping engines to know if they are up to the task of satisfying the needs of the e-consumer. This study adopts an exploratory approach about the history of online shopping engines, their operating modes, categories, and business plans as well as how they are perceived, used and evaluated. Then, a detailed identification of the various shortcomings that CSEs manifest on the side of both e-consumers and e-merchants was presented in order to eventually discuss the numerous innovations and scientific research which have been developed on the subject.
E3S Web of Conferences
Nowadays, data integration methods have been widely used to build models and to represent interac... more Nowadays, data integration methods have been widely used to build models and to represent interactions between the data. They are showing high efficiency. Recent technologies permitted the research community to perform complex analysis on cell structures and it’s functioning system. The tremendous amount of data collected from a biological system encouraged the exploration of new hypothesis. However, the manipulation of heterogenous data require additional efforts to find the model that handles perfectly data of different type. In this paper we present our method to create a unified model and to integrate gene-disease interactions. We will talk about stat of the art methods in data integration, and how we built our network based on omics layers. Moreover, we will present the overall framework we followed to extract important interactions by visually interpreting the generated graph, and the betweenness centrality of nodes. We compared our findings to the medical literature to explai...