ArticleBioinformatics (Oxford, England)2007
A novel non-overlapping bi-clustering algorithm for network generation using living cell array data.
Article in Bioinformatics (Oxford, England), 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
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
8 citing papers in PubMed, 24 citations in OpenAlex.
- Understanding Physiology in the Continuum: Integration of Information from Multiple -Frontiers in pharmacology · 2017Article
- Microengineered cell and tissue systems for drug screening and toxicology applications: Evolution ofTechnology · 2015Article
- Analysis of regulatory network involved in mechanical induction of embryonic stem cell differentiation.PloS one · 2012Article
- Solving medical problems with BioMEMS.IEEE pulse · 2011Article
- Comparison of the cytokine and chemokine dynamics of the early inflammatory response in models of burn injury and infection.Cytokine · 2011Article
- NETWORKS, BIOLOGY AND SYSTEMS ENGINEERING: A CASE STUDY IN INFLAMMATION.Computers & chemical engineering · 2009Article
- A polynomial time biclustering algorithm for finding approximate expression patterns in gene expression time series.Algorithms for molecular biology : AMB · 2009Article
- Transcription factor network reconstruction using the living cell array.Journal of theoretical biology · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
motivationThe living cell array quantifies the contribution of activated transcription factors upon the expression levels of their target genes. The direct manipulation of the regulatory mechanisms offers enormous possibilities for deciphering the machinery that activates and controls gene expression. We propose a novel bi-clustering algorithm for generating non-overlapping clusters of reporter genes and conditions and demonstrate how this information can be interpreted in order to assist in the construction of transcription factor interaction networks.
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.