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Our method is compared favorably with a most popular FDR tool in numerical experiments. We applied our method for analysing gene data of 800 genes and built a network of vector autoregressive model for the data.<\/jats:p>","DOI":"10.3233\/ida-216233","type":"journal-article","created":{"date-parts":[[2022,9,6]],"date-time":"2022-09-06T11:47:57Z","timestamp":1662464877000},"page":"1161-1184","source":"Crossref","is-referenced-by-count":0,"title":["An improvement of FDR for edge detection by applying EM method"],"prefix":"10.1177","volume":"26","author":[{"given":"Eun-Gyoung","family":"Kim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sung-Ho","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/IDA-216233_ref1","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1186\/1471-2105-5-125","article-title":"Determination of the differentially expressed genes in microarray experiments using local FDR","volume":"5","author":"Aubert","year":"2004","journal-title":"BMC Bioinformatics"},{"key":"10.3233\/IDA-216233_ref2","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1016\/S1532-0464(03)00031-5","article-title":"Revising regulatory networks: From expression data to linear causal models","volume":"35","author":"Bay","year":"2002","journal-title":"J. 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