{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T21:34:36Z","timestamp":1763415276319},"reference-count":8,"publisher":"Oxford University Press (OUP)","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011,4,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: SurvJamda (Survival prediction by joint analysis of microarray data) is an R package that utilizes joint analysis of microarray gene expression data to predict patients' survival and risk assessment. Joint analysis can be performed by merging datasets or meta-analysis to increase the sample size and to improve survival prognosis. The prognosis performance derived from the combined datasets can be assessed to determine which feature selection approach, joint analysis method and bias estimation provide the most robust prognosis for a given set of datasets.<\/jats:p>\n               <jats:p>Availability: The survJamda package is available at the Comprehensive R Archive Network, http:\/\/cran.r-project.org.<\/jats:p>\n               <jats:p>Contact: \u00a0hyasrebi@yahoo.com<\/jats:p>","DOI":"10.1093\/bioinformatics\/btr103","type":"journal-article","created":{"date-parts":[[2011,3,3]],"date-time":"2011-03-03T02:00:16Z","timestamp":1299117616000},"page":"1168-1169","source":"Crossref","is-referenced-by-count":14,"title":["SurvJamda: an R package to predict patients' survival and risk assessment using joint analysis of microarray gene expression data"],"prefix":"10.1093","volume":"27","author":[{"given":"Haleh","family":"Yasrebi","sequence":"first","affiliation":[{"name":"1 Swiss Institute for Experimental Cancer Research (ISREC), Swiss Federal Institute of Technology (EPFL), School of Life Sciences (SV) and 2Swiss Institute of Bioinformatics, EPFL SV ISREC, Station 15, 1015 Lausanne, Switzerland"},{"name":"1 Swiss Institute for Experimental Cancer Research (ISREC), Swiss Federal Institute of Technology (EPFL), School of Life Sciences (SV) and 2Swiss Institute of Bioinformatics, EPFL SV ISREC, Station 15, 1015 Lausanne, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2011,3,2]]},"reference":[{"key":"2023061311473573400_B1","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1186\/1471-2288-9-22","article-title":"Individual patient data meta-analysis of diagnostic and prognostic studies in obstetrics, gynaecology and reproductive medicine","volume":"9","author":"Broeze","year":"2009","journal-title":"BMC Med. 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