Target Controllability of Cancer Networks (original) (raw)

Advances in the field of complex networks theory and network biology pave a new way to define human health through the study of networks of proteins, genes, metabolites, modules across cell signaling pathways, and clinical data. Combinations of large scale biological datasets and concepts from network theory, and systems biology produce new insights into the complex dynamic processes involved in human diseases such as cancer. To develop novel datadriven computational tools for discovering the insights of human diseases and for a new approach to multi-drug therapies for personalized therapeutics, it needs combinations of the high-quality set of human interactome networks, disease-specific expression data, and powerful network controllability algorithmics. Therefore, we address the issue of this thesis with the focus to integrate network biology and network controllability approach, to gain useful insight in the finding of the complex mechanism of cancer networks and open the door for...

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