Studying tumorigenesis through network evolution and somatic mutational perturbations in the cancer interactome
about
Systems Biology-Based Investigation of Cellular Antiviral Drug Targets Identified by Gene-Trap Insertional MutagenesisA Gene Gravity Model for the Evolution of Cancer Genomes: A Study of 3,000 Cancer Genomes across 9 Cancer TypesmutLBSgeneDB: mutated ligand binding site gene DataBase.Measuring intratumor heterogeneity by network entropy using RNA-seq data.Functional consequences of somatic mutations in cancer using protein pocket-based prioritization approach.NCG 5.0: updates of a manually curated repository of cancer genes and associated properties from cancer mutational screenings.Investigating cellular network heterogeneity and modularity in cancer: a network entropy and unbalanced motif approachccmGDB: a database for cancer cell metabolism genesIdentification of significantly mutated regions across cancer types highlights a rich landscape of functional molecular alterationsSystematic Prioritization of Druggable Mutations in ∼5000 Genomes Across 16 Cancer Types Using a Structural Genomics-based ApproachHeterogeneous DNA methylation contributes to tumorigenesis through inducing the loss of coexpression connectivity in colorectal cancer.Advances in computational approaches for prioritizing driver mutations and significantly mutated genes in cancer genomesProteome-Scale Investigation of Protein Allosteric Regulation Perturbed by Somatic Mutations in 7,000 Cancer Genomes.Systems Pharmacology-Based Discovery of Natural Products for Precision Oncology Through Targeting Cancer Mutated Genes.Individualized network-based drug repositioning infrastructure for precision oncology in the panomics era.A network-based drug repositioning infrastructure for precision cancer medicine through targeting significantly mutated genes in the human cancer genomes.In silico polypharmacology of natural products.Cancer driver gene discovery through an integrative genomics approach in a non-parametric Bayesian framework.Transcriptome- and proteome-oriented identification of dysregulated eIF4G, STAT3, and Hippo pathways altered by PIK3CA H1047R in HER2/ER-positive breast cancer.Small-molecule binding sites to explore protein-protein interactions in the cancer proteome.Classification of Cancer Primary Sites Using Machine Learning and Somatic Mutations.Localized structural frustration for evaluating the impact of sequence variants.TissGDB: tissue-specific gene database in cancer.Domain retention in transcription factor fusion genes and its biological and clinical implications: a pan-cancer study.Genomic profiling of dedifferentiated liposarcoma compared to matched well-differentiated liposarcoma reveals higher genomic complexity and a common origin.Convergent roles of de novo mutations and common variants in schizophrenia in tissue-specific and spatiotemporal co-expression network.
P2860
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P2860
Studying tumorigenesis through network evolution and somatic mutational perturbations in the cancer interactome
description
2014 nî lūn-bûn
@nan
2014 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի մայիսին 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
Studying tumorigenesis through ...... ions in the cancer interactome
@ast
Studying tumorigenesis through ...... ions in the cancer interactome
@en
type
label
Studying tumorigenesis through ...... ions in the cancer interactome
@ast
Studying tumorigenesis through ...... ions in the cancer interactome
@en
prefLabel
Studying tumorigenesis through ...... ions in the cancer interactome
@ast
Studying tumorigenesis through ...... ions in the cancer interactome
@en
P2093
P2860
P356
P1476
Studying tumorigenesis through ...... ions in the cancer interactome
@en
P2093
Chen-Ching Lin
Peilin Jia
Wen-Hsiung Li
Zhongming Zhao
P2860
P304
P356
10.1093/MOLBEV/MSU167
P577
2014-05-31T00:00:00Z