ArticleGenome biology2004
Enriching for direct regulatory targets in perturbed gene-expression profiles.
Article in Genome biology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Robust network inference using response logic.Bioinformatics (Oxford, England) · 2019Article
- A proof of the DBRF-MEGN method, an algorithm for deducing minimum equivalent gene networks.Source code for biology and medicine · 2011Article
- Indirect genomic effects on survival from gene expression data.Genome biology · 2008Article
- Inferring direct regulatory targets from expression and genome location analyses: a comparison of transcription factor deletion and overexpression.BMC genomics · 2006Article
- Using large-scale perturbations in gene network reconstruction.BMC bioinformatics · 2005Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 regulatory relationships during network reconstruction, and utilize data from double mutants to resolve ambiguous regulatory relationships. When applied to experimental data the reconstruction procedure preferentially retains direct transcription factor-target relationships.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.