UMAP visualization on the SMAGE dataset.

<p>(a) RNA data of SMAGE. (b) ADT data of SMAGE. (c) unified latent represent learned from SMAGE by PLNMFG.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Hui Yuan (402180) (author)
مؤلفون آخرون:	Mingzhu Liu (1727896) (author), Yushan Qiu (4685401) (author), Wai-Ki Ching (4685404) (author), Quan Zou (157931) (author)
منشور في:	2025
الموضوعات:	Cell Biology Genetics Developmental Biology Cancer Infectious Diseases Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified robust latent representation one joint framework negative matrix factorization model performs well handle dropout events double similarity information despite significant advances complex biological functions adaptively learned based cluster structure learning omics sequencing technologies omics integration approaches intrinsic complementary information various omic layers individual omic datasets uses prior pseudo label guided non graph laplacian constraint preserves structure characteristic omics data within intrinsic structure within omics graph constraint omics data omic contribution xlink "> thereby failing study investigates simultaneous analysis platform interactions downstream analyses collective non
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