about
Understanding Genotype-Phenotype Effects in Cancer via Network ApproachesComputational Cancer Biology: An Evolutionary PerspectiveSignificant Prognostic Features and Patterns of Somatic TP53 Mutations in Human CancersDiscovery of cancer common and specific driver gene sets.Identification of driver modules in pan-cancer via coordinating coverage and exclusivity.Systematic identification of cancer driving signaling pathways based on mutual exclusivity of genomic alterations.Identification of constrained cancer driver genes based on mutation timingMEMCover: integrated analysis of mutual exclusivity and functional network reveals dysregulated pathways across multiple cancer typesComputational methods and resources for the interpretation of genomic variants in cancerCoMEt: a statistical approach to identify combinations of mutually exclusive alterations in cancer.MEGSA: A Powerful and Flexible Framework for Analyzing Mutual Exclusivity of Tumor Mutations.Mutually exclusive mutations in NOTCH1 and PIK3CA associated with clinical prognosis and chemotherapy responses of esophageal squamous cell carcinoma in China.Algorithmic methods to infer the evolutionary trajectories in cancer progression.Sports genetics moving forward: lessons learned from medical research.Computational approaches for the identification of cancer genes and pathwaysSynthetic essentiality: Targeting tumor suppressor deficiencies in cancer.A weighted exact test for mutually exclusive mutations in cancer.WeSME: uncovering mutual exclusivity of cancer drivers and beyond.On the Sample Complexity of Cancer Pathways Identification.TiMEx: a waiting time model for mutually exclusive cancer alterations.An information theoretic method to identify combinations of genomic alterations that promote glioblastoma.A novel independence test for somatic alterations in cancer shows that biology drives mutual exclusivity but chance explains most co-occurrence.QuaDMutEx: quadratic driver mutation explorerIdentifying mutual exclusivity across cancer genomes: computational approaches to discover genetic interaction and reveal tumor vulnerability.Analysis of mutation, selection, and epistasis: an informed approach to cancer clinical trials.WTFgenes: What's The Function of these genes? Static sites for model-based gene set analysis
P2860
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P2860
description
2014 nî lūn-bûn
@nan
2014 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի մարտին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Modeling mutual exclusivity of cancer mutations.
@ast
Modeling mutual exclusivity of cancer mutations.
@en
type
label
Modeling mutual exclusivity of cancer mutations.
@ast
Modeling mutual exclusivity of cancer mutations.
@en
prefLabel
Modeling mutual exclusivity of cancer mutations.
@ast
Modeling mutual exclusivity of cancer mutations.
@en
P2860
P1476
Modeling mutual exclusivity of cancer mutations.
@en
P2860
P304
P356
10.1371/JOURNAL.PCBI.1003503
P577
2014-03-27T00:00:00Z