{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T18:16:15Z","timestamp":1787940975862,"version":"build-2784847793"},"reference-count":28,"publisher":"Oxford University Press (OUP)","issue":"8","license":[{"start":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T00:00:00Z","timestamp":1786924800000},"content-version":"vor","delay-in-days":16,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004772","name":"Natural Science Foundation of Ningxia Province","doi-asserted-by":"publisher","award":["2023AAC05006"],"award-info":[{"award-number":["2023AAC05006"]}],"id":[{"id":"10.13039\/501100004772","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32460159"],"award-info":[{"award-number":["32460159"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,8,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>Cross-modal translation enables reconstruction of missing modalities in single-cell multi-omics data, supporting integrative analyses of cellular heterogeneity and regulatory relationships. However, existing methods often struggle to disentangle shared biological signals from modality-specific variation and to generalize across datasets.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We present scDAU, a deep learning framework that combines conditional diffusion-based feature regularization with multi-scale cross-modal translation networks. scDAU employs a feature decoupling strategy to separate shared semantic representations from modality-specific components, followed by U-Net-based architectures for accurate bidirectional translation between modalities. Across multiple benchmark datasets, scDAU outperforms existing methods in both within-dataset and cross-dataset settings, as well as in predicting modalities for previously unseen cell types. The framework further generalizes to transcriptome\u2013proteome translation, demonstrating flexibility across diverse multi-omics contexts. Application to a human glioblastoma dataset showed that scDAU preserves cell-type-specific gene expression and chromatin accessibility patterns, supporting downstream analyses such as marker identification and functional enrichment. Overall, scDAU provides a robust and extensible approach for cross-modal translation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability<\/jats:title>\n                    <jats:p>The source code of scDAU is available at https:\/\/github.com\/zhyu-lab\/scdau and https:\/\/doi.org\/10.5281\/zenodo.19303337.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btag610","type":"journal-article","created":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T11:52:03Z","timestamp":1786535523000},"source":"Crossref","is-referenced-by-count":0,"title":["scDAU: a disentangled representation learning method for cross-modal translation in single-cell multi-omics data"],"prefix":"10.1093","volume":"42","author":[{"given":"Jialiang","family":"Xue","sequence":"first","affiliation":[{"name":"School of Information Engineering, Ningxia University , Yinchuan, Ningxia 750021,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangmei","family":"Cao","sequence":"additional","affiliation":[{"name":"Basic Medical School, Ningxia Medical University , Yinchuan, Ningxia 750001,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junlei","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Ningxia University , Yinchuan, Ningxia 750021,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaowei","family":"Cao","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Ningxia University , Yinchuan, Ningxia 750021,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4185-8129","authenticated-orcid":false,"given":"Fangyuan","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Ningxia 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