{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"bioRxiv"}],"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T09:13:05Z","timestamp":1773479585975,"version":"3.50.1"},"posted":{"date-parts":[[2024,8,3]]},"group-title":"Bioinformatics","reference-count":49,"publisher":"openRxiv","license":[{"start":{"date-parts":[[2024,8,3]],"date-time":"2024-08-03T00:00:00Z","timestamp":1722643200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2024,8,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>Large datasets containing multiple clinical and omics measurements for each subject motivate the development of new statistical methods to integrate these data to advance scientific discovery.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Model<\/jats:title>\n                  <jats:p>We propose bootstrap evaluation of association matrices (BEAM), which integrates multiple omics profiles with multiple clinical endpoints. BEAM associates a set omic features with clinical endpoints via regression models and then uses bootstrap resampling to determine statistical significance of the set. Unlike existing methods, BEAM uniquely accommodates an arbitrary number of omic profiles and endpoints.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>In simulations, BEAM performed similarly to the theoretically best simple test and outperformed other integrated analysis methods. In an example pediatric leukemia application, BEAM identified several genes with biological relevance established by a CRISPR assay that had been missed by univariate screens and other integrated analysis methods. Thus, BEAM is a powerful, flexible, and robust tool to identify genes for further laboratory and\/or clinical research evaluation.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Availability<\/jats:title>\n                  <jats:p>\n                    Source code, documentation, and a vignette for BEAM are available on GitHub at:\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/github.com\/annaSeffernick\/BEAMR\">https:\/\/github.com\/annaSeffernick\/BEAMR<\/jats:ext-link>\n                    . The R package is available from CRAN at:\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/cran.r-project.org\/package=BEAMR\">https:\/\/cran.r-project.org\/package=BEAMR<\/jats:ext-link>\n                    .\n                  <\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Contact<\/jats:title>\n                  <jats:p>\n                    <jats:email>Stanley.Pounds@stjude.org<\/jats:email>\n                  <\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Supplementary Information<\/jats:title>\n                  <jats:p>Supplementary data are available at the journal\u2019s website.<\/jats:p>\n                <\/jats:sec>","DOI":"10.1101\/2024.07.31.605805","type":"posted-content","created":{"date-parts":[[2024,8,3]],"date-time":"2024-08-03T11:45:15Z","timestamp":1722685515000},"source":"Crossref","is-referenced-by-count":1,"title":["Bootstrap Evaluation of Association Matrices (BEAM) for Integrating Multiple Omics Profiles with Multiple Outcomes"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0848-4604","authenticated-orcid":false,"given":"Anna Eames","family":"Seffernick","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xueyuan","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenjian","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert J.","family":"Autry","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun J.","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ching-Hon","family":"Pui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David T.","family":"Teachey","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jatinder K.","family":"Lamba","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1871-1850","authenticated-orcid":false,"given":"Charles G.","family":"Mullighan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stanley B.","family":"Pounds","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"54368","reference":[{"key":"2024080606550870000_2024.07.31.605805v1.1","doi-asserted-by":"publisher","DOI":"10.1158\/2159-8290.CD-20-1230"},{"issue":"1","key":"2024080606550870000_2024.07.31.605805v1.2","first-page":"523","article-title":"Joint and individual variation explained (JIVE) for integrated analysis of multiple data types","volume":"7","year":"2013","journal-title":"The annals of applied statistics"},{"key":"2024080606550870000_2024.07.31.605805v1.3","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btw324"},{"issue":"1","key":"2024080606550870000_2024.07.31.605805v1.4","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1111\/biom.13141","article-title":"Integrative factorization of bidimensionally linked matrices","volume":"76","year":"2020","journal-title":"Biometrics"},{"key":"2024080606550870000_2024.07.31.605805v1.5","first-page":"198:1","article-title":"Integrated Principal Components Analysis","volume":"22","year":"2021","journal-title":"J. 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