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Article

Model-based method for transcription factor target identification with limited data.

Proceedings of the National Academy of Sciences of the United States of America - 27 Apr 2010

Honkela Antti, Girardot Charles, Gustafson E Hilary, Liu Ya-Hsin, Furlong Eileen E M, Lawrence Neil D, Rattray Magnus

Abstract excerpt

We present a computational method for identifying potential targets of a transcription factor (TF) using wild-type gene expression time series data. For each putative target gene we fit a simple differential equation model of transcriptional regulation, and the model likelihood serves as a score to rank targets. The expression profile of the TF is modeled as a sample from a Gaussian process prior distribution...

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Identifiers

PMID: 20385836
DOI: 10.1073/pnas.0914285107
PMCID: PMC2867914

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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.

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