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ResearchSimilarity searches in genome-wide numerical data setsGalina Glazko1,2 , Michael Coleman1 and Arcady Mushegian1,3  1
Stowers Institute for Medical Research, 1000 E 50th St., Kansas City MO 64110, USA 2
University of Rochester Medical Center, Rochester, NY 14642, USA 3
Department of Microbiology, Molecular Genetics, and Immunology, University of Kansas Medical Center, Kansas City, KS 66160, USA author email corresponding author email
Biology Direct 2006,
1:13doi:10.1186/1745-6150-1-13 Abstract
We present psi-square, a program for searching the space of gene vectors. The program starts with a gene vector, i.e., the set of measurements associated with a gene, and finds similar vectors, derives a probabilistic model of these vectors, then repeats search using this model as a query, and continues to update the model and search again, until convergence. When applied to three different pathway-discovery problems, psi-square was generally more sensitive and sometimes more specific than the ad hoc methods developed for solving each of these problems before.
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This article was reviewed by King Jordan, Mikhail Gelfand, Nicolas Galtier and Sarah Teichmann. |