Mapping Phenotypic Plasticity upon the Cancer Cell State Landscape Using Manifold Learning.

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Bibliographic Details
Title: Mapping Phenotypic Plasticity upon the Cancer Cell State Landscape Using Manifold Learning.
Authors: Burkhardt DB; Department of Genetics, Yale University, New Haven, Connecticut.; Cellarity, Somerville, Massachusetts., San Juan BP; The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.; St Vincent's Clinical School, UNSW Medicine, UNSW Sydney, Darlinghurst, New South Wales, Australia., Lock JG; School of Medical Sciences, Faculty of Medicine and Health, UNSW Sydney, Kensington, New South Wales, Australia., Krishnaswamy S; Department of Genetics, Yale University, New Haven, Connecticut.; Department of Computer Science, Computational Biology Bioinformatics Program, Applied Math Program, Yale University, New Haven, Connecticut., Chaffer CL; The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.; St Vincent's Clinical School, UNSW Medicine, UNSW Sydney, Darlinghurst, New South Wales, Australia.
Source: Cancer discovery [Cancer Discov] 2022 Aug 05; Vol. 12 (8), pp. 1847-1859.
Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: American Association for Cancer Research Country of Publication: United States NLM ID: 101561693 Publication Model: Print Cited Medium: Internet ISSN: 2159-8290 (Electronic) Linking ISSN: 21598274 NLM ISO Abbreviation: Cancer Discov Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2159-8290
DOI:10.1158/2159-8290.CD-21-0282