BeWith: A Between-Within method to discover relationships between cancer modules via integrated analysis of mutual exclusivity, co-occurrence and functional interactions

The analysis of the mutational landscape of cancer, including mutual exclusivity and co-occurrence of mutations, has been instrumental in studying the disease. We hypothesized that exploring the interplay between co-occurrence, mutual exclusivity, and functional interactions between genes will furth...

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Veröffentlicht in:	PLoS computational biology 2017-10, Vol.13 (10), p.e1005695
Hauptverfasser:	Dao, Phuong, Kim, Yoo-Ah, Wojtowicz, Damian, Madan, Sanna, Sharan, Roded, Przytycka, Teresa M
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Biology Biology and Life Sciences Biotechnology Breast cancer Cancer Cancer genetics Cancer research Cell cycle Computational biology Computational Biology - methods Computer science DCC gene Deoxyribonucleic acid Development and progression DNA Funding Gene Regulatory Networks - genetics Genes Genetic aspects Genomes Humans Integer programming Intracellular Signaling Peptides and Proteins - analysis Intracellular Signaling Peptides and Proteins - genetics Intracellular Signaling Peptides and Proteins - metabolism Linear programming Medical prognosis Medicine Medicine and Health Sciences Metastases Methods Modules Mutagenesis Mutation Mutation - genetics National libraries Neoplasms - genetics Neoplasms - metabolism p53 Protein Software Synergistic effect
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