TCGA-assembler: open-source software for retrieving and processing TCGA data.
about
Integrative analyses of cancer data: a review from a statistical perspectiveIntegration Analysis of Three Omics Data Using Penalized Regression Methods: An Application to Bladder CancerA Gene Gravity Model for the Evolution of Cancer Genomes: A Study of 3,000 Cancer Genomes across 9 Cancer TypesFirebrowseR: an R client to the Broad Institute's Firehose PipelineJoint analysis of multiple high-dimensional data types using sparse matrix approximations of rank-1 with applications to ovarian and liver cancerPublic data and open source tools for multi-assay genomic investigation of diseasemutLBSgeneDB: mutated ligand binding site gene DataBase.Microenvironment-derived factors driving metastatic plasticity in melanoma.Zodiac: A Comprehensive Depiction of Genetic Interactions in Cancer by Integrating TCGA Data.Wanderer, an interactive viewer to explore DNA methylation and gene expression data in human cancerTCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA dataPrediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data.Web-TCGA: an online platform for integrated analysis of molecular cancer data sets.Identification of hub genes and regulatory factors of glioblastoma multiforme subgroups by RNA-seq data analysisIntegrating Colon Cancer Microarray Data: Associating Locus-Specific Methylation Groups to Gene Expression-Based Classifications.Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data setThe tumor microenvironment underlies acquired resistance to CSF-1R inhibition in gliomasDeubiquitylating enzyme USP9x regulates hippo pathway activity by controlling angiomotin protein turnoverIntegrated Analysis Reveals together miR-182, miR-200c and miR-221 Can Help in the Diagnosis of Prostate Cancer.Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage.Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma.miRLAB: An R Based Dry Lab for Exploring miRNA-mRNA Regulatory Relationships.Integrating multidimensional omics data for cancer outcome.Investigating cellular network heterogeneity and modularity in cancer: a network entropy and unbalanced motif approachMIEN1 promotes oral cancer progression and implicates poor overall survival.TCGA2BED: extracting, extending, integrating, and querying The Cancer Genome AtlasComputational analysis of the mesenchymal signature landscape in gliomas.JDINAC: joint density-based non-parametric differential interaction network analysis and classification using high-dimensional sparse omics data.Integrative eQTL analysis of tumor and host omics data in individuals with bladder cancer.ccmGDB: a database for cancer cell metabolism genesSystematic Prioritization of Druggable Mutations in ∼5000 Genomes Across 16 Cancer Types Using a Structural Genomics-based ApproachDeletion and low expression of NFKBIA are associated with poor prognosis in lower-grade glioma patients.Pan-cancer subtyping in a 2D-map shows substructures that are driven by specific combinations of molecular characteristics.The prognostic landscape of genes and infiltrating immune cells across human cancersStaphylococcal Nuclease and Tudor Domain Containing 1 (SND1 Protein) Promotes Hepatocarcinogenesis by Inhibiting Monoglyceride Lipase (MGLL).Integrative bioinformatic analyses of an oncogenomic profile reveal the biology of endometrial cancer and guide drug discovery.High Expression of miR-532-5p, a Tumor Suppressor, Leads to Better Prognosis in Ovarian Cancer Both In Vivo and In Vitro.Copy-number variation of MCL1 predicts overall survival of non-small-cell lung cancer in a Southern Chinese population.Dysregulated signaling hubs of liver lipid metabolism reveal hepatocellular carcinoma pathogenesis.Decreased expression of Calpain-9 predicts unfavorable prognosis in patients with gastric cancer.
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P2860
TCGA-assembler: open-source software for retrieving and processing TCGA data.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունիսին 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
TCGA-assembler: open-source software for retrieving and processing TCGA data.
@ast
TCGA-assembler: open-source software for retrieving and processing TCGA data.
@en
type
label
TCGA-assembler: open-source software for retrieving and processing TCGA data.
@ast
TCGA-assembler: open-source software for retrieving and processing TCGA data.
@en
prefLabel
TCGA-assembler: open-source software for retrieving and processing TCGA data.
@ast
TCGA-assembler: open-source software for retrieving and processing TCGA data.
@en
P2093
P2860
P356
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TCGA-assembler: open-source software for retrieving and processing TCGA data.
@en
P2093
P2860
P2888
P304
P356
10.1038/NMETH.2956
P577
2014-06-01T00:00:00Z
P6179
1039762000