Gene set enrichment analysis: performance evaluation and usage guidelines. - Wikidata - awgldk - TriplyDB

Gene set enrichment analysis: performance evaluation and usage guidelines.

Gene set enrichment analysis: performance evaluation and usage guidelines.

http://www.wikidata.org/entity/Q35977457

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Pathway Analysis: State of the Art Non-Darwinian dynamics in therapy-induced cancer drug resistance.Cytotoxic T cells mediate pathology and metastasis in cutaneous leishmaniasis Identifying gene set association enrichment using the coefficient of intrinsic dependence Size distribution of function-based human gene sets and the split-merge model Integrated network analysis and effective tools in plant systems biology.What's that gene (or protein)? Online resources for exploring functions of genes, transcripts, and proteins.Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput data Harnessing the complexity of gene expression data from cancer: from single gene to structural pathway methods GSVA: gene set variation analysis for microarray and RNA-seq data.Integrative gene set analysis of multi-platform data with sample heterogeneity.Evaluating gene set enrichment analysis via a hybrid data model.MAAMD: a workflow to standardize meta-analyses and comparison of affymetrix microarray data.Lean Big Data integration in systems biology and systems pharmacology.Revealing Biological Pathways Implicated in Lung Cancer from TCGA Gene Expression Data Using Gene Set Enrichment Analysis.Inferring pathway dysregulation in cancers from multiple types of omic data.Effects of subsampling on characteristics of RNA-seq data from triple-negative breast cancer patients.htsint: a Python library for sequencing pipelines that combines data through gene set generation.Providing data science support for systems pharmacology and its implications to drug discovery A novel microRNA signature predicts survival in stomach adenocarcinoma.Optimization of gene set annotations via entropy minimization over variable clusters (EMVC).LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures.Gene set analysis methods: statistical models and methodological differences.Functional characterization of breast cancer using pathway profiles Uniform approximation is more appropriate for Wilcoxon Rank-Sum Test in gene set analysis.Pathway analysis of genomic data: concepts, methods, and prospects for future development.EnrichNet: network-based gene set enrichment analysis.Spectral gene set enrichment (SGSE).Enriching the gene set analysis of genome-wide data by incorporating directionality of gene expression and combining statistical hypotheses and methods.Inferring the perturbed microRNA regulatory networks in cancer using hierarchical gene co-expression signatures.Gene-based mapping and pathway analysis of metabolic traits in dairy cows.Kiwi: a tool for integration and visualization of network topology and gene-set analysis Consensus comparative analysis of human embryonic stem cell-derived cardiomyocytes.A nested parallel experiment demonstrates differences in intensity-dependence between RNA-seq and microarrays.Integrating mRNA and miRNA Weighted Gene Co-Expression Networks with eQTLs in the Nucleus Accumbens of Subjects with Alcohol Dependence.Principal Angle Enrichment Analysis (PAEA): Dimensionally Reduced Multivariate Gene Set Enrichment Analysis Tool Enrichr: a comprehensive gene set enrichment analysis web server 2016 update.rapidGSEA: Speeding up gene set enrichment analysis on multi-core CPUs and CUDA-enabled GPUs.Unsupervised gene set testing based on random matrix theory.MinePath: Mining for Phenotype Differential Sub-paths in Molecular Pathways.

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Gene set enrichment analysis: performance evaluation and usage guidelines.

http://www.wikidata.org/entity/Q35977457

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2011 nî lūn-bûn

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2011年の論文

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2011年論文

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2011年論文

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2011年论文

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name

Gene set enrichment analysis: performance evaluation and usage guidelines.

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Gene set enrichment analysis: performance evaluation and usage guidelines.

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Gene set enrichment analysis: performance evaluation and usage guidelines.

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Gene set enrichment analysis: performance evaluation and usage guidelines.

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Gene set enrichment analysis: performance evaluation and usage guidelines.

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Gene set enrichment analysis: performance evaluation and usage guidelines.

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Briefings in Bioinformatics

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Gene set enrichment analysis: performance evaluation and usage guidelines

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Charles DeLisi

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Tun-Hsiang Yang

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Zhenjun Hu

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Zhiping Weng

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P2860

Mapping and quantifying mammalian transcriptomes by RNA-Seq

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Statistical significance for genomewide studies

A sequence-based identification of the genes detected by probesets on the Affymetrix U133 plus 2.0 array

Improving the scaling normalization for high-density oligonucleotide GeneChip expression microarrays

PAGE: parametric analysis of gene set enrichment

Summaries of Affymetrix GeneChip probe level data

Exploration, normalization, and summaries of high density oligonucleotide array probe level data

Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists

A parsimony approach to biological pathway reconstruction/inference for genomes and metagenomes

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281-291

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scholarly article

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10.1093/BIB/BBR049

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3

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13

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51620155

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21900207

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3357488

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