Single-cell multi-modal GAN reveals spatial patterns in single-cell data from triple-negative breast cancer.

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Bibliographic Details
Title: Single-cell multi-modal GAN reveals spatial patterns in single-cell data from triple-negative breast cancer.
Authors: Amodio M; Yale University Department of Computer Science, New Haven, CT, USA., Youlten SE; Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.; The Kinghorn Cancer Centre, Darlinghurst, NSW, Australia., Venkat A; Yale University Computational Biology and Bioinformatics, New Haven, CT, USA., San Juan BP; Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.; St Vincent's Clinical School, UNSW Medicine, UNSW Sydney, Sydney, NSW, Australia.; The Kinghorn Cancer Centre, Darlinghurst, NSW, Australia., Chaffer CL; Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.; St Vincent's Clinical School, UNSW Medicine, UNSW Sydney, Sydney, NSW, Australia.; The Kinghorn Cancer Centre, Darlinghurst, NSW, Australia., Krishnaswamy S; Yale University Department of Computer Science, New Haven, CT, USA.; Yale University Department of Genetics, New Haven, CT, USA.
Source: Patterns (New York, N.Y.) [Patterns (N Y)] 2022 Sep 01; Vol. 3 (9), pp. 100577. Date of Electronic Publication: 2022 Sep 01 (Print Publication: 2022).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101767765 Publication Model: eCollection Cited Medium: Internet ISSN: 2666-3899 (Electronic) Linking ISSN: 26663899 NLM ISO Abbreviation: Patterns (N Y) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2666-3899
DOI:10.1016/j.patter.2022.100577