ReviewGenome biology2005
Genome-wide analysis of the context-dependence of regulatory networks.
Review in Genome biology, 2005. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Modelling transcription with explainable AI uncovers context-specific epigenetic gene regulation at promoters and gene bodies.PLoS genetics · 2025Article
- Multi-study inference of regulatory networks for more accurate models of gene regulation.PLoS computational biology · 2019Article
- Unraveling gene regulatory networks from time-resolved gene expression data - a measures comparison study.BMC bioinformatics · 2011Article
- Cell state switching factors and dynamical patterning modules: complementary mediators of plasticity in development and evolution.Journal of biosciences · 2009Article
- A protein interaction atlas for the nuclear receptors: properties and quality of a hub-based dimerisation network.BMC systems biology · 2007Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide analytical tools are now allowing the discovery of the design rules that govern regulatory networks. Two recent studies in yeast have helped reveal the relatively small number of transcription-factor control strategies that cells employ to maximize their regulatory options using only a small number of components.
Indexed as
Identifiers
What OpenQuestion holds
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.