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scMoMtF: An interpretable multitask learning framework for single-cell multi-omics data analysis.

With the rapidly development of biotechnology, it is now possible to obtain single-cell multi-omics data in the same cell. However, how to integrate and analyze these single-cell multi-omics data remains a great challenge. Herein, we introduce an interpretable multitask framework (scMoMtF) for compr...

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Bibliografische Detailangaben
Hauptverfasser: Wei Lan, Tongsheng Ling, Qingfeng Chen, Ruiqing Zheng, Min Li, Yi Pan
Format: Artigo
Sprache:Inglês
Veröffentlicht: Public Library of Science (PLoS) 2024-12-01
Schriftenreihe:PLoS Computational Biology
Online-Zugang:https://doi.org/10.1371/journal.pcbi.1012679
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