The Connectivity Map
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The Connectivity Map[edit]
The Connectivity Map, or CMap, is a catalog of transcriptional responses of human cells to perturbation from chemical and genetic treatments. Its database contains 1.3M gene expression signatures that can be used to find relationships between diseases, genes, and therapeutics[1]. Changes in gene expression that arise from a disease or a perturbation can be compared for similarity with those arising from another disease or different perturbations. Cases that exhibit a high similarity are termed "connected." The biomedical community has used these connections to develop hypotheses for a variety of disease treatments, including cancers, neurological diseases, and infectious diseases[2].
References[edit]
- ↑ Subramanian, Aravind; Narayan, Rajiv; Corsello, Steven M.; Peck, David D.; Natoli, Ted E.; Lu, Xiaodong; Gould, Joshua; Davis, John F.; Tubelli, Andrew A.; Asiedu, Jacob K.; Lahr, David L. (November 2017). "A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles". Cell. 171 (6): 1437–1452.e17. doi:10.1016/j.cell.2017.10.049. ISSN 0092-8674. PMC 5990023. PMID 29195078.
- ↑ Musa, Aliyu; Ghoraie, Laleh Soltan; Zhang, Shu-Dong; Galzko, Galina; Yli-Harja, Olli; Dehmer, Matthias; Haibe-Kains, Benjamin; Emmert-Streib, Frank (2017-01-09). "A review of connectivity map and computational approaches in pharmacogenomics". Briefings in Bioinformatics: bbw112. doi:10.1093/bib/bbw112. ISSN 1467-5463. PMC 5952941. PMID 28069634.
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