SeqGSEA: a Bioconductor package for gene set enrichment analysis of RNA-Seq data integrating differential expression and splicing.
about
Practical aspects of NGS-based pathways analysis for personalized cancer science and medicinePathway Analysis: State of the ArtRNA Sequencing in SchizophreniaInformatics for RNA Sequencing: A Web Resource for Analysis on the Cloud.GSAASeqSP: a toolset for gene set association analysis of RNA-Seq dataFunPat: function-based pattern analysis on RNA-seq time series data.Inferring pathway dysregulation in cancers from multiple types of omic data.Gene set analysis approaches for RNA-seq data: performance evaluation and application guidelinehtsint: a Python library for sequencing pipelines that combines data through gene set generation.GOexpress: an R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression dataImproving Gene-Set Enrichment Analysis of RNA-Seq Data with Small Replicates.Powerful differential expression analysis incorporating network topology for next-generation sequencing data.Ranking metrics in gene set enrichment analysis: do they matter?Gene dispersion is the key determinant of the read count bias in differential expression analysis of RNA-seq data.Comparisons of computational methods for differential alternative splicing detection using RNA-seq in plant systems.Pathway-based Biomarkers for Breast Cancer in Proteomics.rapidGSEA: Speeding up gene set enrichment analysis on multi-core CPUs and CUDA-enabled GPUs.Gene set analysis controlling for length bias in RNA-seq experiments.Complementary feature selection from alternative splicing events and gene expression for phenotype prediction.minotaur: A platform for the analysis and visualization of multivariate results from genome scans with R Shiny.RNA-Enrich: a cut-off free functional enrichment testing method for RNA-seq with improved detection power.
P2860
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P2860
SeqGSEA: a Bioconductor package for gene set enrichment analysis of RNA-Seq data integrating differential expression and splicing.
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
SeqGSEA: a Bioconductor packag ...... ntial expression and splicing.
@ast
SeqGSEA: a Bioconductor packag ...... ntial expression and splicing.
@en
type
label
SeqGSEA: a Bioconductor packag ...... ntial expression and splicing.
@ast
SeqGSEA: a Bioconductor packag ...... ntial expression and splicing.
@en
prefLabel
SeqGSEA: a Bioconductor packag ...... ntial expression and splicing.
@ast
SeqGSEA: a Bioconductor packag ...... ntial expression and splicing.
@en
P2860
P356
P1433
P1476
SeqGSEA: a Bioconductor packag ...... ntial expression and splicing.
@en
P2860
P304
P356
10.1093/BIOINFORMATICS/BTU090
P407
P577
2014-02-17T00:00:00Z