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Finally, CM-viewer was developed to visualize the interaction network of cancer genes with co-occurring and mutually exclusive mutations. It is an online ...
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Dec 24, 2017 · Although cancer genes with co-occurring and mutually exclusive mutations have already been studied on different scales, there is no timely ...
We use DIALECT to identify dependencies in simulated data and to identify pairs of genes with mutually exclusive driver mutations in real somatic mutation data ...
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May 11, 2020 · Oviz-Bio supports a diverse range of visualizations on common cancer mutation types, including annotation and signatures of small scale ...
Feb 5, 2020 · Here we report the integrative analysis of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types from the Pan- ...
To this end, our second objective is to dissect the side effects caused by mutation load artifacts where mutations driving tumor subtypes with low mutation load ...
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Here, we developed a somaticInteractions function, which facilitates the identification of gene sets mutated in either mutually exclusive or a co-occurring ...
Aug 14, 2023 · (A) An illustration visualizes the analysis structure for this figure. The effects of somatic mutations on RNA, protein, and phosphoproteomics ...
Jul 31, 2014 · The DawnRank method ranks mutated genes in a single patient according to their potential to be drivers. DawnRank requires the knowledge of a ...
This study develops a novel Individualized Network-based Co-Mutation (termed INCM) methodology for quantifying the putative genetic interactions in cancer.