about
Rab1a and Rab5a preferentially bind to binary lipid compositions with higher stored curvature elastic energyNIRF constitutes a nodal point in the cell cycle network and is a candidate tumor suppressorComputational medicine: translating models to clinical careIdentification of transmembrane protein 134 as a novel LMP1-binding protein by using bimolecular fluorescence complementation and an enhanced retroviral mutagenStrategies for Integrated Analysis of Genetic, Epigenetic, and Gene Expression Variation in Cancer: Addressing the ChallengesSmall cell lung cancer (SCLC): no treatment advances in recent yearsComparative Transcriptomes and EVO-DEVO Studies Depending on Next Generation SequencingIntegrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potentialNetwork biomarkers reveal dysfunctional gene regulations during disease progressionNIRF/UHRF2 occupies a central position in the cell cycle network and allows coupling with the epigenetic landscapeVisualizing multidimensional cancer genomics dataBioinformatics for cancer immunology and immunotherapyGenomic approaches in breast cancer researchRab27 GTPases distribute extracellular nanomaps for invasive growth and metastasis: implications for prognosis and treatmentAdapt, Recycle, and Move on: Proteostasis and Trafficking Mechanisms in MelanomaReverse enGENEering of Regulatory Networks from Big Data: A Roadmap for BiologistsTBC1D16 is a Rab4A GTPase activating protein that regulates receptor recycling and EGF receptor signalingGene network reconstruction reveals cell cycle and antiviral genes as major drivers of cervical cancerAmplification and high-level expression of heat shock protein 90 marks aggressive phenotypes of human epidermal growth factor receptor 2 negative breast cancerStatistical Methods in Integrative GenomicsAn integrated inspection of the somatic mutations in a lung squamous cell carcinoma using next-generation sequencingIntegrated DNA Copy Number and Gene Expression Regulatory Network Analysis of Non-small Cell Lung Cancer MetastasisAn integrative genomic and transcriptomic analysis reveals potential targets associated with cell proliferation in uterine leiomyomasNetwork topology reveals key cardiovascular disease genesEvolution of the cancer genomeLeveraging models of cell regulation and GWAS data in integrative network-based association studiesPathway and network analysis of cancer genomesMelanoma exosomes educate bone marrow progenitor cells toward a pro-metastatic phenotype through METStructural bioinformatics of the interactome.An integrative characterization of recurrent molecular aberrations in glioblastoma genomes.Estimation of copy number alterations from exome sequencing data.Identifying in-trans process associated genes in breast cancer by integrated analysis of copy number and expression dataEstablished and novel methods of interrogating two-dimensional cell migration.Computational solutions for omics data.Voting-based cancer module identification by combining topological and data-driven propertiesBayesian joint analysis of heterogeneous genomics data.Identification of ovarian cancer driver genes by using module network integration of multi-omics data.Identification of mutated core cancer modules by integrating somatic mutation, copy number variation, and gene expression data.Lineage-specific roles of the cytoplasmic polyadenylation factor CPEB4 in the regulation of melanoma drivers.A meta-analysis of multiple matched copy number and transcriptomics data sets for inferring gene regulatory relationships.
P2860
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P2860
description
2010 nî lūn-bûn
@nan
2010 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
An integrated approach to uncover drivers of cancer.
@ast
An integrated approach to uncover drivers of cancer.
@en
An integrated approach to uncover drivers of cancer.
@nl
type
label
An integrated approach to uncover drivers of cancer.
@ast
An integrated approach to uncover drivers of cancer.
@en
An integrated approach to uncover drivers of cancer.
@nl
prefLabel
An integrated approach to uncover drivers of cancer.
@ast
An integrated approach to uncover drivers of cancer.
@en
An integrated approach to uncover drivers of cancer.
@nl
P2093
P2860
P50
P1433
P1476
An integrated approach to uncover drivers of cancer
@en
P2093
Dylan Kotliar
Eyal Mozes
Felix Sanchez-Garcia
Jessica Kim
Oren Litvin
Panisa Pochanard
P2860
P304
P356
10.1016/J.CELL.2010.11.013
P407
P577
2010-12-02T00:00:00Z