ArticleGenome biology2011
SpeCond: a method to detect condition-specific gene expression.
Article in Genome biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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.
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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.
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Who cites it
8 citing papers in PubMed.
- Long noncoding RNA study: Genome-wide approaches.Genes & diseases · 2023Review
- deTS: tissue-specific enrichment analysis to decode tissue specificity.Bioinformatics (Oxford, England) · 2019Article
- Article
- POSTAR: a platform for exploring post-transcriptional regulation coordinated by RNA-binding proteins.Nucleic acids research · 2017Article
- The evolutionary scope and neurological disease linkage of yeast-prion-like proteins in humans.Biology direct · 2016Article
- Identifying gene expression modules that define human cell fates.Stem cell research · 2016Article
- Differential enrichment of regulatory motifs in the composite network of protein-protein and gene regulatory interactions.BMC systems biology · 2014Article
- Ontology based molecular signatures for immune cell types via gene expression analysis.BMC bioinformatics · 2013Article
Corrections and comments
- Erratum issuedHuber, Wolfgang [removed]
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transcriptomic studies routinely measure expression levels across numerous conditions. These datasets allow identification of genes that are specifically expressed in a small number of conditions. However, there are currently no statistically robust methods for identifying such genes. Here we present SpeCond, a method to detect condition-specific genes that outperforms alternative approaches. We apply the method to a dataset of 32 human tissues to determine 2,673 specifically expressed genes. An implementation of SpeCond is freely available as a Bioconductor package at http://www.bioconductor.org/packages/release/bioc/html/SpeCond.html.
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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.