VarWalker: personalized mutation network analysis of putative cancer genes from next-generation sequencing data
about
Evaluating biomarkers to model cancer risk post cosmic ray exposureForward Individualized Medicine from Personal Genomes to InteractomesA Gene Gravity Model for the Evolution of Cancer Genomes: A Study of 3,000 Cancer Genomes across 9 Cancer TypesA Pan-Cancer Catalogue of Cancer Driver Protein Interaction InterfacesMUFFINN: cancer gene discovery via network analysis of somatic mutation data.LNDriver: identifying driver genes by integrating mutation and expression data based on gene-gene interaction network.A novel network regularized matrix decomposition method to detect mutated cancer genes in tumour samples with inter-patient heterogeneity.A meta-analysis of somatic mutations from next generation sequencing of 241 melanomas: a road map for the study of genes with potential clinical relevance.Studying tumorigenesis through network evolution and somatic mutational perturbations in the cancer interactomeQuantitative network mapping of the human kinome interactome reveals new clues for rational kinase inhibitor discovery and individualized cancer therapyThe structural basis for cancer treatment decisions.Functional consequences of somatic mutations in cancer using protein pocket-based prioritization approach.MSEA: detection and quantification of mutation hotspots through mutation set enrichment analysisVariation Interpretation Predictors: Principles, Types, Performance, and Choice.Dynamic multiprotein assemblies shape the spatial structure of cell signalingIntegrative and comparative genomic analysis of HPV-positive and HPV-negative head and neck squamous cell carcinomasNetwork tuned multiple rank aggregation and applications to gene ranking.Patterns and processes of somatic mutations in nine major cancers.Computational methods and resources for the interpretation of genomic variants in cancerCase-only exome sequencing and complex disease susceptibility gene discovery: study design considerations.HitWalker2: visual analytics for precision medicine and beyond.Investigating cellular network heterogeneity and modularity in cancer: a network entropy and unbalanced motif approachCytology smears as excellent starting material for next-generation sequencing-based molecular testing of patients with adenocarcinoma of the lung.m6A-Driver: Identifying Context-Specific mRNA m6A Methylation-Driven Gene Interaction Networks.The use of gene interaction networks to improve the identification of cancer driver genes.Systematic Prioritization of Druggable Mutations in ∼5000 Genomes Across 16 Cancer Types Using a Structural Genomics-based ApproachAdvances in computational approaches for prioritizing driver mutations and significantly mutated genes in cancer genomesDiscovering potential driver genes through an integrated model of somatic mutation profiles and gene functional information.NetNorM: Capturing cancer-relevant information in somatic exome mutation data with gene networks for cancer stratification and prognosis.Somatic driver mutations in melanoma.Functional variomics and network perturbation: connecting genotype to phenotype in cancer.HABP2 p.G534E variant in patients with family history of thyroid and breast cancer.Classification of Cancer Primary Sites Using Machine Learning and Somatic Mutations.Differential analysis between somatic mutation and germline variation profiles reveals cancer-related genesUnique protein expression signatures of survival time in kidney renal clear cell carcinoma through a pan-cancer screening.HUMAN KINASES DISPLAY MUTATIONAL HOTSPOTS AT COGNATE POSITIONS WITHIN CANCER.DawnRank: discovering personalized driver genes in cancer.Revealing the Determinants of Widespread Alternative Splicing Perturbation in Cancer.Mutation status coupled with RNA-sequencing data can efficiently identify important non-significantly mutated genes serving as diagnostic biomarkers of endometrial cancer.Driver pattern identification over the gene co-expression of drug response in ovarian cancer by integrating high throughput genomics data.
P2860
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P2860
VarWalker: personalized mutation network analysis of putative cancer genes from next-generation sequencing data
description
2014 nî lūn-bûn
@nan
2014 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի փետրվարին 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
VarWalker: personalized mutati ...... ext-generation sequencing data
@ast
VarWalker: personalized mutati ...... ext-generation sequencing data
@en
type
label
VarWalker: personalized mutati ...... ext-generation sequencing data
@ast
VarWalker: personalized mutati ...... ext-generation sequencing data
@en
prefLabel
VarWalker: personalized mutati ...... ext-generation sequencing data
@ast
VarWalker: personalized mutati ...... ext-generation sequencing data
@en
P2860
P1476
VarWalker: personalized mutati ...... ext-generation sequencing data
@en
P2093
Peilin Jia
Zhongming Zhao
P2860
P304
P356
10.1371/JOURNAL.PCBI.1003460
P577
2014-02-06T00:00:00Z