{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T22:11:07Z","timestamp":1774390267548,"version":"3.50.1"},"reference-count":20,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T00:00:00Z","timestamp":1773187200000},"content-version":"vor","delay-in-days":11,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,2,28]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>Accurate demultiplexing of pooled single-cell RNA-seq (scRNA-seq) data is critical for large-scale studies. However, existing methods like vireo, while effective up to \u223c16 donors, often struggle with poor clustering due to local optima as donor numbers rise. In high-donor scenarios, overlapping genotypes, a dense genotype space, and increased doublet formation make demultiplexing challenging, requiring methods that are robust to sparse, high-dimensional data and maintain reliable accuracy even as sample complexity grows.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We present an enhanced version of souporcell capable of demultiplexing up to 64 donors. The method uses 10\u00d7 merge for initialization, K-Harmonic Means for robust clustering, and iterative refinement with reinitialization of low-quality clusters and locking of high-quality ones. Compared to vireo, overclustered vireo, and the original souporcell, our approach completely eliminates incorrectly merged clusters and achieves consistently high Adjusted Rand Index (ARI) scores across various doublet rates, demonstrating improved accuracy and scalability.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>Souporcell3 is freely available under the MIT open-source license at https:\/\/github.com\/wheaton5\/souporcell.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btag117","type":"journal-article","created":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T12:48:40Z","timestamp":1772887720000},"source":"Crossref","is-referenced-by-count":0,"title":["Souporcell3: robust demultiplexing for high-donor single-cell RNA-seq datasets"],"prefix":"10.1093","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-0237-2376","authenticated-orcid":false,"given":"Minindu","family":"Weerakoon","sequence":"first","affiliation":[{"name":"Department of Computer Science and Software Engineering, Auburn University , Auburn, AL 36849,","place":["United States"]}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2876-6190","authenticated-orcid":false,"given":"Hai","family":"Vu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Software Engineering, Auburn University , Auburn, AL 36849,","place":["United States"]}]},{"given":"Reza","family":"Behboudi","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Software Engineering, Auburn University , Auburn, AL 36849,","place":["United States"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9649-525X","authenticated-orcid":false,"given":"Haynes","family":"Heaton","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Software Engineering, Auburn University , Auburn, AL 36849,","place":["United States"]}]}],"member":"286","published-online":{"date-parts":[[2026,3,10]]},"reference":[{"key":"2026032415580219200_btag117-B1","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1007\/s10994-009-5103-0","article-title":"NP-hardness of Euclidean sum-of-squares clustering","volume":"75","author":"Aloise","year":"2009","journal-title":"Mach Learn"},{"key":"2026032415580219200_btag117-B2","first-page":"1027","author":"Arthur"},{"key":"2026032415580219200_btag117-B3","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1186\/s13059-025-03803-3","article-title":"SNPmanifold: detecting single-cell clonality and lineages from single-nucleotide variants using binomial variational 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