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 for non-monotone association and multiple experimental categories.

BMC bioinformatics - 14 Nov 2008

Lin Rongheng, Dai Shuangshuang, Irwin Richard D, Heinloth Alexandra N, Boorman Gary A, Li Leping

Abstract excerpt

BACKGROUND: Recently, microarray data analyses using functional pathway information, e.g., gene set enrichment analysis (GSEA) and significance analysis of function and expression (SAFE), have gained recognition as a way to identify biological pathways/processes associated with a phenotypic endpo...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Databases, Genetic
Share to Gene Expression

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression Profiling

Share to Meta-Analysis as Topic

Share to Oligonucleotide Array Sequence Analysis

Share to Phenotype

Share to Proteome

Source

Open in PubMed Open full text

Identifiers

PMID: 19014579
DOI: 10.1186/1471-2105-9-481
PMCID: PMC2636811

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-19014579-2026-09-02.2. 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 for non-monotone association and multiple experimental categories.PMID 19014579Read ↗

Toxicogenomic module associations with pathogenesis: a network-based approach to understanding drug toxicity.Semantic proximity Read ↗

Molecular annotation of AOPs guides the development of the next generation mechanistic chemical safety assessment and new approach methodsSemantic proximity Read ↗

Unbiased Approach for the Identification of Molecular Mechanisms Sensitive to Chemical ExposuresSemantic proximity Read ↗

Quantitative Transcriptional Biomarkers of Xenobiotic Receptor Activation in Rat Liver for the Early Assessment of Drug Safety LiabilitiesSemantic proximity Read ↗

Use of traditional end points and gene dysregulation to understand mechanisms of toxicity: toxicogenomics in mechanistic toxicology.Semantic proximity Read ↗

Characterization of Chemically Induced Liver Injuries Using Gene Co-Expression ModulesSemantic proximity Read ↗

Integration of clinical and gene expression endpoints to explore furan-mediated hepatotoxicitySemantic proximity Read ↗

Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes.Semantic proximity Read ↗

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

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

A toxicity pathway-oriented approach to develop adverse outcome pathway: AHR activation as a case study.Semantic proximity Read ↗

Comprehensive analysis of high-throughput transcriptomics to distinguish drug-induced liver injury (DILI) phenotypes.Semantic proximity Read ↗

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