{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T15:36:48Z","timestamp":1760369808635,"version":"3.37.3"},"reference-count":24,"publisher":"Oxford University Press (OUP)","issue":"10","license":[{"start":{"date-parts":[[2022,3,24]],"date-time":"2022-03-24T00:00:00Z","timestamp":1648080000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Research Alliance Interests grants provided by Zoetis"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,13]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>This article presents multi-omic integration with sparse value decomposition (MOSS), a free and open-source R package for integration and feature selection in multiple large omics datasets. This package is computationally efficient and offers biological insight through capabilities, such as cluster analysis and identification of informative omic features.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>https:\/\/CRAN.R-project.org\/package=MOSS.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary information can be found at https:\/\/github.com\/agugonrey\/GonzalezReymundez2021.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btac179","type":"journal-article","created":{"date-parts":[[2022,3,23]],"date-time":"2022-03-23T20:13:00Z","timestamp":1648066380000},"page":"2956-2958","source":"Crossref","is-referenced-by-count":3,"title":["MOSS: multi-omic integration with sparse value decomposition"],"prefix":"10.1093","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2249-8335","authenticated-orcid":false,"given":"Agustin","family":"Gonzalez-Reymundez","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Biostatistics, Michigan State University , East Lansing, MI 48824, USA"}]},{"given":"Alexander","family":"Grueneberg","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, Michigan State University , East Lansing, MI 48824, USA"}]},{"given":"Guanqi","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, Michigan State University , East Lansing, MI 48824, USA"}]},{"given":"Filipe Couto","family":"Alves","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, Michigan State University , East Lansing, MI 48824, USA"}]},{"given":"Gonzalo","family":"Rincon","sequence":"additional","affiliation":[{"name":"Genus PLC Inc., Genome Sciences R&D, De Forest, WI 53532 , USA"}]},{"given":"Ana I","family":"Vazquez","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, Michigan State University , East Lansing, MI 48824, USA"}]}],"member":"286","published-online":{"date-parts":[[2022,3,24]]},"reference":[{"key":"2023020109120201900_btac179-B1","doi-asserted-by":"crossref","first-page":"1618","DOI":"10.3390\/cancers11101618","article-title":"A comprehensive review on MAPK: a promising therapeutic target in cancer","volume":"11","author":"Braicu","year":"2019","journal-title":"Cancers (Basel)"},{"key":"2023020109120201900_btac179-B2","doi-asserted-by":"crossref","first-page":"1113","DOI":"10.1038\/ng.2764","article-title":"The Cancer Genome Atlas Pan-Cancer analysis project","volume":"45","author":"Chang","year":"2013","journal-title":"Nat. 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