GSVA: gene set variation analysis for microarray and RNA-seq data.
about
Practical aspects of NGS-based pathways analysis for personalized cancer science and medicineAdvanced Applications of RNA Sequencing and ChallengesStroma-associated master regulators of molecular subtypes predict patient prognosis in ovarian cancer.Cutaneous wound healing through paradoxical MAPK activation by BRAF inhibitors.A survey of best practices for RNA-seq data analysisDual targeting of p53 and c-MYC selectively eliminates leukaemic stem cellsCandida utilis and Chlorella vulgaris counteract intestinal inflammation in Atlantic salmon (Salmo salar L.)A Biobank of Breast Cancer Explants with Preserved Intra-tumor Heterogeneity to Screen Anticancer CompoundsPathway and network analysis of cancer genomesImmune DNA signature of T-cell infiltration in breast tumor exomes.A thirteen-gene expression signature predicts survival of patients with pancreatic cancer and identifies new genes of interest.Pathway Processor 2.0: a web resource for pathway-based analysis of high-throughput dataWhole transcriptome profiling of the vernalization process in Lilium longiflorum (cultivar White Heaven) bulbsGSAASeqSP: a toolset for gene set association analysis of RNA-Seq dataComparative evaluation of gene set analysis approaches for RNA-Seq data.Inferring pathway dysregulation in cancers from multiple types of omic data.Pathway analysis for RNA-Seq data using a score-based approach.Gene set analysis approaches for RNA-seq data: performance evaluation and application guidelineDrug-induced adverse events prediction with the LINCS L1000 dataGenomic Characterization of the Evolutionary Potential of the Sea Urchin Strongylocentrotus droebachiensis Facing Ocean AcidificationA machine learning approach for the identification of key markers involved in brain development from single-cell transcriptomic data.Activity of distinct growth factor receptor network components in breast tumors uncovers two biologically relevant subtypesCombining multiple tools outperforms individual methods in gene set enrichment analysesSingle-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer.Clinical implications of genomic profiles in metastatic breast cancer with a focus on TP53 and PIK3CA, the most frequently mutated genes.Multilevel genomics of colorectal cancers with microsatellite instability-clinical impact of JAK1 mutations and consensus molecular subtype 1The tumor microenvironment underlies acquired resistance to CSF-1R inhibition in gliomasMulti-omics study revealing the complexity and spatial heterogeneity of tumor-infiltrating lymphocytes in primary liver carcinoma.A Novel Unsupervised Algorithm for Biological Process-based Analysis on Cancer.Exome sequencing identifies highly recurrent MED12 somatic mutations in breast fibroadenoma.Pathway reporter genes define molecular phenotypes of human cellsRedirecting abiraterone metabolism to fine-tune prostate cancer anti-androgen therapy.Genomic profiling of human Leishmania braziliensis lesions identifies transcriptional modules associated with cutaneous immunopathologyPathway activity inference for multiclass disease classification through a mathematical programming optimisation framework.A comparison of gene set analysis methods in terms of sensitivity, prioritization and specificity.Prognostic value of a nine-gene signature in glioma patients based on mRNA expression profiling.Rab27a was identified as a prognostic biomaker by mRNA profiling, correlated with malignant progression and subtype preference in gliomas.Systematic computation with functional gene-sets among leukemic and hematopoietic stem cells reveals a favorable prognostic signature for acute myeloid leukemiaCARD14 expression in dermal endothelial cells in psoriasis.Comparative genomic profiling of synovium versus skin lesions in psoriatic arthritis.
P2860
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P2860
GSVA: gene set variation analysis for microarray and RNA-seq data.
description
2013 nî lūn-bûn
@nan
2013 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年学术文章
@wuu
2013年学术文章
@zh-cn
2013年学术文章
@zh-hans
2013年学术文章
@zh-my
2013年学术文章
@zh-sg
2013年學術文章
@yue
name
GSVA: gene set variation analysis for microarray and RNA-seq data.
@ast
GSVA: gene set variation analysis for microarray and RNA-seq data.
@en
type
label
GSVA: gene set variation analysis for microarray and RNA-seq data.
@ast
GSVA: gene set variation analysis for microarray and RNA-seq data.
@en
prefLabel
GSVA: gene set variation analysis for microarray and RNA-seq data.
@ast
GSVA: gene set variation analysis for microarray and RNA-seq data.
@en
P2860
P356
P1433
P1476
GSVA: gene set variation analysis for microarray and RNA-seq data
@en
P2093
Justin Guinney
Sonja Hänzelmann
P2860
P2888
P356
10.1186/1471-2105-14-7
P577
2013-01-16T00:00:00Z
P5875
P6179
1022196002