Classification models based-on incremental learning algorithm and feature selection on gene expression data (original) (raw)

Classication Models Based-on Incremental Learning Algorithm and Feature Selection on Gene Expression Data

Sageemas Na Wichian

ECTI Transactions on Computer and Information Technology (ECTI-CIT), 1970

View PDFchevron_right

A Study on Computational Process in Gene Expression Data

vaira prakash

View PDFchevron_right

A fuzzy intelligent approach to the classification problem in gene expression data analysis

Mehdi Bijari, Ali Zeinal Hamadani

Knowledge-Based Systems, 2012

View PDFchevron_right

A model for gene selection and classifi cation of gene expression data

mohd saberi saberi

View PDFchevron_right

An Integrated Framework for Fuzzy Classification and Analysis of Gene Expression Data

Hadi Khabbaz

New Concepts and Developments

View PDFchevron_right

A comparative study of different machine learning methods on microarray gene expression data

Jatinder Manhas

2008

View PDFchevron_right

Classification of Microarray Gene Expression Data

Keith Burley

View PDFchevron_right

A comprehensive survey on computational learning methods for analysis of gene expression data

Nikita Bhandari

arXiv (Cornell University), 2022

View PDFchevron_right

Classification of Microarray Gene Expression Data Using a New Binary Support Vector System

Shuan-yow Li

2005 International Conference on Neural Networks and Brain, 2005

View PDFchevron_right

Classification Techniques in Gene Expression Microarray Data

Sarah Ayyad, IJCSMC Journal

IJCSMC, 2018

View PDFchevron_right

A Hybrid Data Mining Technique for Improving the Classification Accuracy of Microarray Data Set

Bichitrananda Patra

View PDFchevron_right

Selecting informative genes from microarray data by using hybrid methods for cancer classification

Sigeru Omatu

Artificial Life and Robotics, 2009

View PDFchevron_right

Hybrid methods to select informative gene sets in microarray data classification

Pengyi Yang

Proceedings of the 20th Australian joint …, 2007

View PDFchevron_right

A novel feature selection method to improve classification of gene expression data

Nikola Kasabov, Professor

2004

View PDFchevron_right

Computational intelligence approach for gene expression data mining and classification

Javed M Khan

View PDFchevron_right

Gene expression data classification using genetic algorithm-based feature selection

Mustafa Dagtekin

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2021

View PDFchevron_right

Knowledge-based Analysis of Microarray Gene Expression Data By Using Support Vector Machines

Michael Brown

Proceedings of The National Academy of Sciences, 2000

View PDFchevron_right

Gene Expression Data Classification using Support Vector Machine and Mutual Information-based Gene Selection

D. Devaraj

View PDFchevron_right

A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression

tao li

Bioinformatics/computer Applications in The Biosciences, 2004

View PDFchevron_right

Computational intelligence techniques for classification in microarray analysis

Sara Rodríguez

Studies in Computational Intelligence, 2010

View PDFchevron_right

Instance-based concept learning from multiclass DNA microarray data

Ian Bradbury

BMC Bioinformatics, 2006

View PDFchevron_right

On the statistical assessment of classifiers using DNA microarray data

Annarita Daddabbo, Nicola Ancona

BMC Bioinformatics, 2006

View PDFchevron_right