Genome-wide midrange transcription profiles reveal expression level relationships in human tissue specification
By Itai Yanai, H. Benjamin-Rodrig, M. Shmoish, V. Chalifa-Caspi, M. Shklar, R. Ophir, A. Bar‐Even, S. Horn-Saban, M. Safran, Eytan Domany and 2 more. Bioinform., 2005
1,175 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/6b1bf0015b8aae18793a0a32d6f88dbf06f02a6b
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In Molecular Biology
- Bernhard O. Palsson
- Markus J. Herrgård
- Eytan Ruppin
- Tomer Shlomi
- M. Fuller
- Jure Leskovec
- Marc Robinson-Rechavi
- Rachel I. Wilson
Citations in the corpus
- Fly Cell Atlas: a single-nucleus transcriptomic atlas of the adult fruit fly (2022, positive): “We used the tau score of tissue specificity ( 40 ) and identified 500 TFs with a score > 0.85, indicating a high specificity for one or very few cell types ( Table S2 ).”
- Network-based prediction of human tissue-specific metabolism (2008, background): “Changes in gene- and protein-expression levels play a major role in controlling tissue-specific metabolic function”
- Global organization of replication time zones of the mouse genome. (2008, background): “12 index, a measure of how ubiquitous the expression of a gene is (Yanai et al. 2005).”
- A benchmark of gene expression tissue-specificity metrics (2015, methodology): “A widely used method which does not depend on such a cut-off is Tau (Yanai et al. 2005).”
- Promoter features related to tissue specificity as measured by Shannon entropy (2005, result): “The tissue trees we produced contain relationships similar to those in an analysis [48] of mid-specificity genes, including the close relation between lung, and the immune system-related organs spleen and thymus.”