{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T22:43:56Z","timestamp":1782513836518,"version":"3.54.5"},"reference-count":29,"publisher":"Oxford University Press (OUP)","issue":"8","license":[{"start":{"date-parts":[[2018,7,3]],"date-time":"2018-07-03T00:00:00Z","timestamp":1530576000000},"content-version":"vor","delay-in-days":222,"URL":"https:\/\/academic.oup.com\/journals\/pages\/about_us\/legal\/notices"}],"funder":[{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["R01CA190766"],"award-info":[{"award-number":["R01CA190766"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004085","name":"Ministry of Education, Science and Technology","doi-asserted-by":"publisher","award":["2017R1C1B5017528"],"award-info":[{"award-number":["2017R1C1B5017528"]}],"id":[{"id":"10.13039\/501100004085","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,4,15]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Motivation<\/jats:title><jats:p>With the prevalent usage of microarray and massively parallel sequencing, numerous high-throughput omics datasets have become available in the public domain. Integrating abundant information among omics datasets is critical to elucidate biological mechanisms. Due to the high-dimensional nature of the data, methods such as principal component analysis (PCA) have been widely applied, aiming at effective dimension reduction and exploratory visualization.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In this article, we combine multiple omics datasets of identical or similar biological hypothesis and introduce two variations of meta-analytic framework of PCA, namely MetaPCA. Regularization is further incorporated to facilitate sparse feature selection in MetaPCA. We apply MetaPCA and sparse MetaPCA to simulations, three transcriptomic meta-analysis studies in yeast cell cycle, prostate cancer, mouse metabolism and a TCGA pan-cancer methylation study. The result shows improved accuracy, robustness and exploratory visualization of the proposed framework.<\/jats:p><\/jats:sec><jats:sec><jats:title>Availability and implementation<\/jats:title><jats:p>An R package MetaPCA is available online. (http:\/\/tsenglab.biostat.pitt.edu\/software.htm).<\/jats:p><\/jats:sec><jats:sec><jats:title>Supplementary information<\/jats:title><jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p><\/jats:sec>","DOI":"10.1093\/bioinformatics\/btx765","type":"journal-article","created":{"date-parts":[[2017,11,22]],"date-time":"2017-11-22T20:13:53Z","timestamp":1511381633000},"page":"1321-1328","source":"Crossref","is-referenced-by-count":54,"title":["Meta-analytic principal component analysis in integrative omics application"],"prefix":"10.1093","volume":"34","author":[{"given":"SungHwan","family":"Kim","sequence":"first","affiliation":[{"name":"Department of Statistics, Keimyung University, Daegu, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongwan","family":"Kang","sequence":"additional","affiliation":[{"name":"Genomics Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiguang","family":"Huo","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongseok","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"George C","family":"Tseng","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA"},{"name":"Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2017,11,23]]},"reference":[{"key":"2023012713012312700_btx765-B1","doi-asserted-by":"crossref","first-page":"855","DOI":"10.1042\/BST0370855","article-title":"Array of hope: expression profiling identifies disease biomarkers and mechanism","volume":"37","author":"Bhattacharya","year":"2009","journal-title":"Biochem. 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