A variational deep-learning approach to modeling memory T cell dynamics.

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Bibliographic Details
Title: A variational deep-learning approach to modeling memory T cell dynamics.
Authors: van Dorp CH; Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York, United States of America., Gray JI; Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, New York, United States of America., Paik DH; Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, New York, United States of America., Farber DL; Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, New York, United States of America., Yates AJ; Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York, United States of America.
Source: PLoS computational biology [PLoS Comput Biol] 2025 Jul 24; Vol. 21 (7), pp. e1013242. Date of Electronic Publication: 2025 Jul 24 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1553-7358
DOI:10.1371/journal.pcbi.1013242