Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Gene set enrichment analysis made simple.

Statistical methods in medical research - 1 Dec 2009

Irizarry Rafael A, Wang Chi, Zhou Yun, Speed Terence P

Abstract excerpt

Among the many applications of microarray technology, one of the most popular is the identification of genes that are differentially expressed in two conditions. A common statistical approach is to quantify the interest of each gene with a p-value, adjust these p-values for multiple comparisons,...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Computational Biology
Share to Databases, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression Profiling

Share to Oligonucleotide Array Sequence Analysis

Share to Phenotype

Source

Open in PubMed Open full text

Identifiers

PMID: 20048385
DOI: 10.1177/0962280209351908
PMCID: PMC3134237

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-20048385-2026-09-02.2. Manifest publication-graph-cohort-2026-09-02.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Gene set enrichment analysis made simple.PMID 20048385Read ↗

Comparative study of gene set enrichment methods.Semantic proximity Read ↗

Fold-change-Specific Enrichment Analysis (FSEA): Quantification of Transcriptional Response Magnitude for Functional Gene GroupsSemantic proximity Read ↗

Gene set enrichment; a problem of pathways.Semantic proximity Read ↗

CLEAR: Concise List Enrichment Analysis Reducing RedundancySemantic proximity Read ↗

Combining multiple tools outperforms individual methods in gene set enrichment analysesSemantic proximity Read ↗

Towards a gold standard for benchmarking gene set enrichment analysisSemantic proximity Read ↗

Identifying gene interaction enrichment for gene expression data.Semantic proximity Read ↗

GSVA: gene set variation analysis for microarray and RNA-seq data.Semantic proximity Read ↗

Gene-set analysis and reduction.Semantic proximity Read ↗

Enhancing gene set enrichment using networksSemantic proximity Read ↗

Empirical Bayes screening of many p-values with applications to microarray studies.Semantic proximity Read ↗

Easy and efficient ensemble gene set testing with EGSEASemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.