{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T17:50:33Z","timestamp":1782928233153,"version":"3.54.5"},"reference-count":25,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T00:00:00Z","timestamp":1779667200000},"content-version":"vor","delay-in-days":4,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Summary<\/jats:title>\n                    <jats:p>We developed slideimp, an R package that extends and optimizes K-nearest neighbor (K-NN) and Principal Component Analysis (PCA) imputation with grouped and sliding-window modes for accurate and efficient imputation of microarray and whole-genome DNA methylation (DNAm) data, respectively. Under a realistic scenario, slideimp achieved \u224812\u201328\u00d7 faster runtime and \u22483\u20136\u00d7 peak memory usage reduction for DNAm microarray imputation (GSE286313, EPICv2, N\u2009=\u200972) and achieved high imputation accuracy in a whole-genome DNAm dataset (N\u2009=\u200941).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>The code used in this study is available at https:\/\/github.com\/hhp94\/slideimp_paper. The R package slideimp is available on CRAN (DOI: 10.32614\/CRAN.package.slideimp). Version 1.0.0 of slideimp, which was used in this study, is archived on Zenodo (DOI: 10.5281\/zenodo.20029382).<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btag318","type":"journal-article","created":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T11:42:03Z","timestamp":1779277323000},"source":"Crossref","is-referenced-by-count":1,"title":["slideimp: efficient imputation of DNA methylation data"],"prefix":"10.1093","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8271-9355","authenticated-orcid":false,"given":"Hung","family":"Pham","sequence":"first","affiliation":[{"name":"Yale Child Study Center, Yale School of Medicine , New Haven, CT 06520,","place":["United States"]},{"name":"Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine , New Haven, CT 06520,","place":["United 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