作者: Stuart Kim , Josh Stuart , Anne M. Villeneuve , Art B. Owen , Kathy Mach
DOI: 10.1101/GR.1125403
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摘要: One of the most important uses whole-genome expression data is for discovery new genes with similar function to a given list (the query) already known have closely related function. We developed an algorithm, called gene recommender, that ranks according how strongly they correlate set query in those experiments which are coregulated. used recommender find other coexpressed several sets genes, including retinoblastoma complex. Genetic confirmed one (JC8.6) identified by acts lin-35 Rb regulate vulval cell fates, and another (wrm-1) antagonistically. returns lists better precision, fixed levels recall, than generated using C. elegans topomap.