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

Enriching for direct regulatory targets in perturbed gene-expression profiles.

Genome biology - 1 Jan 2004

Tringe Susannah G, Wagner Andreas, Ruby Stephanie W

Abstract excerpt

Here we build on a previously proposed algorithm to infer direct regulatory relationships using gene-expression profiles from cells in which individual genes are deleted or overexpressed. The updated algorithm can process networks containing feedback loops, incorporate positive and negative regul...

Read the complete abstract on PubMed

Topics

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

Share to Artificial Intelligence
Share to Computer Graphics
Share to Computer Simulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Databases, Genetic

Share to DNA, Fungal

Share to Gene Expression Regulation, Fungal

Share to Oligonucleotide Array Sequence Analysis

Share to Regulatory Sequences, Nucleic Acid

Source

Open in PubMed Open full text

Identifiers

PMID: 15059262
DOI: 10.1186/gb-2004-5-4-r29
PMCID: PMC395788

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026. Prepared record publication-15059262-2026-09-01.1. Manifest publication-graph-cohort-2026-09-01.1.

Source receipt: PubMed via Helena Literature Corpus, retrieved 1 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Enriching for direct regulatory targets in perturbed gene-expression profiles.PMID 15059262Read ↗

Comprehensive reanalysis of transcription factor knockout expression data in Saccharomyces cerevisiae reveals many new targets.Semantic proximity Read ↗

GAGER: gene regulatory network assisted gene expression restorationSemantic proximity Read ↗

De-novo learning of genome-scale regulatory networks in S. cerevisiae.Semantic proximity Read ↗

Perturbation-response genes reveal signaling footprints in cancer gene expressionSemantic proximity Read ↗

Effective regulatory relationships between genes differ from direct transcription factor-target interactions, and exhibit a distinct statistical signatureSemantic proximity Read ↗

Inferring subnetworks from perturbed expression profiles.Semantic proximity Read ↗

Perturbation-response genes reveal signaling footprints in cancer gene expression.Semantic proximity Read ↗

Mapping Transcription Factor Networks By Comparing Tf Binding Locations To Tf Perturbation ResponsesSemantic proximity Read ↗

Identifying progressive gene network perturbation from single-cell RNA-seq dataSemantic proximity Read ↗

How to understand the cell by breaking it: network analysis of gene perturbation screens.Semantic proximity Read ↗

ARACNE: an algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context.Semantic proximity Read ↗

Capturing hidden regulation based on noise change of gene expression level from single cell RNA-seq in yeast.Semantic proximity Read ↗

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