henhaobio
Sign in

Communications BiologyBioinformaticsPeer-reviewed journal article

GOAT: efficient and robust identification of geneset enrichment

Frank KoopmansiD

PDFDOIPreprint

Abstract

Geneset enrichment analysis is foundational to the interpretation of high throughput biology. We here present GOAT (https://ftwkoopmans.github.io/goat), a parameter-free permutation-based algorithm for geneset enrichment analysis of preranked genelists. Estimated geneset p-values are well calibrated under the null hypothesis and invariant to geneset size. GOAT consistently identifies more Gene Ontology terms in real-world datasets than current methods and is available as an R package and online tool.

Citations
20
FWCI
2.85
Field percentile
top 8%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISCerulo '22Strielkov '25Koziara '16Ramlow '26Korotkevich '21Ayllón-Bení '20
70% semantic matchBioinformatics
Luigi Cerulo, Stefano Maria Pagnotta·Entropy·May 23, 2022· 5 citations