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False discovery rate measurement has been used to identify the most significant causalities.<\/jats:p><jats:p>Results: Simulation shows good convergence and accuracy of the algorithm. Robustness of the procedure has been demonstrated by applying the algorithm in a non-stationary time series setup. Application of the algorithm in a real dataset identified many causalities, with some overlap with previously known ones. Assembled network of the genes reveals features of the network that are common wisdom about naturally occurring networks.<\/jats:p><jats:p>Contact: \u00a0nitai@lilly.com; chatterjee@stat.umn.edu<\/jats:p>","DOI":"10.1093\/bioinformatics\/btl598","type":"journal-article","created":{"date-parts":[[2006,12,9]],"date-time":"2006-12-09T01:23:39Z","timestamp":1165627419000},"page":"442-449","source":"Crossref","is-referenced-by-count":96,"title":["Causality and pathway search in microarray time series experiment"],"prefix":"10.1093","volume":"23","author":[{"given":"Nitai D.","family":"Mukhopadhyay","sequence":"first","affiliation":[{"name":"Eli Lilly and Co. 1 \u00a0 1 \u00a0"}]},{"given":"Snigdhansu","family":"Chatterjee","sequence":"additional","affiliation":[{"name":"University of Minnesota 2 \u00a0 2 \u00a0"}]}],"member":"286","published-online":{"date-parts":[[2006,12,8]]},"reference":[{"key":"2023041109270505400_","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1103\/RevModPhys.74.47","article-title":"Statistical mechanics of complex networks","volume":"74","author":"Albert","year":"2002","journal-title":"Rev. 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