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

Drug perturbation gene set enrichment analysis (dpGSEA): a new transcriptomic drug screening approach.

BMC bioinformatics - 12 Jan 2021

Fang Mike, Richardson Brian, Cameron Cheryl M, Dazard Jean-Eudes, Cameron Mark J

Abstract excerpt

BACKGROUND: In this study, we demonstrate that our modified Gene Set Enrichment Analysis (GSEA) method, drug perturbation GSEA (dpGSEA), can detect phenotypically relevant drug targets through a unique transcriptomic enrichment that emphasizes biological directionality of drug-derived gene sets. RESULTS: We detail our dpGSEA method and show its effectiveness in detecting specific perturbation of drugs in...

Read the complete abstract on PubMed

Topics

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

Share to CD4-Positive T-Lymphocytes
Share to Cell Cycle
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Drug Evaluation, Preclinical

Share to Phenotype

Share to Probability

Share to Transcriptome

Source

Open in PubMed Open full text

Identifiers

PMID: 33435872
DOI: 10.1186/s12859-020-03929-0
PMCID: PMC7805197

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Drug perturbation gene set enrichment analysis (dpGSEA): a new transcriptomic drug screening approach.PMID 33435872Read ↗

Drug-set enrichment analysis: a novel tool to investigate drug mode of action.Semantic proximity Read ↗

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

Pathway impact analysis (PIS) for robust and comprehensive interpretation of differentially expressed genes (DEGs)Semantic proximity Read ↗

DSigDB: drug signatures database for gene set analysis.Semantic proximity Read ↗

Mapping the Transcriptional Landscape of Drug Responses in Primary Human Cells Using High-Throughput DRUG-seqSemantic proximity Read ↗

Drug mechanism enrichment analysis improves prioritization of therapeutics for repurposingSemantic proximity Read ↗

NGSEA: network-based gene set enrichment analysis for interpreting gene expression phenotypes with functional gene setsSemantic proximity Read ↗

Signature reversion of three disease-associated gene signatures prioritizes cancer drug repurposing candidatesSemantic proximity Read ↗

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

Differential Expression Enrichment Tool (DEET): An interactive atlas of human differential gene expressionSemantic proximity Read ↗

RANKOR: Direct Drug Prioritization from Bulk and Single-Cell Transcriptomic SignaturesSemantic proximity Read ↗

GenesetDiseaseDrugNetwork (GDDN): a web server for disease enrichment and drug prioritizationSemantic proximity Read ↗

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