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Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts.

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Title: Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts.
Authors: Schiff L; Google Research, Mountain View, CA, USA., Migliori B; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Chen Y; Google Research, Mountain View, CA, USA., Carter D; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Bonilla C; Google Research, Mountain View, CA, USA., Hall J; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Fan M; Google Research, Mountain View, CA, USA., Tam E; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Ahadi S; Google Research, Mountain View, CA, USA., Fischbacher B; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Geraschenko A; Google Research, Mountain View, CA, USA., Hunter CJ; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Venugopalan S; Google Research, Mountain View, CA, USA., DesMarteau S; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Narayanaswamy A; Google Research, Mountain View, CA, USA., Jacob S; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Armstrong Z; Google Research, Mountain View, CA, USA., Ferrarotto P; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Williams B; Google Research, Mountain View, CA, USA., Buckley-Herd G; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Hazard J; Google Research, Mountain View, CA, USA., Goldberg J; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Coram M; Google Research, Mountain View, CA, USA., Otto R; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Baltz EA; Google Research, Mountain View, CA, USA., Andres-Martin L; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Pritchard O; Google Research, Mountain View, CA, USA., Duren-Lubanski A; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Daigavane A; Google Research, Mountain View, CA, USA., Reggio K; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Nelson PC; Google Research, Mountain View, CA, USA., Frumkin M; Google Research, Mountain View, CA, USA., Solomon SL; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Bauer L; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Aiyar RS; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Schwarzbach E; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Noggle SA; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Monsma FJ Jr; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Paull D; The New York Stem Cell Foundation Research Institute, New York, NY, USA., Berndl M; Google Research, Mountain View, CA, USA. marcberndl@google.com., Yang SJ; Google Research, Mountain View, CA, USA. samuely@google.com., Johannesson B; The New York Stem Cell Foundation Research Institute, New York, NY, USA. johannesson.bjarki@gmail.com.
Corporate Authors: NYSCF Global Stem Cell Array® Team
Source: Nature communications [Nat Commun] 2022 Mar 25; Vol. 13 (1), pp. 1590. Date of Electronic Publication: 2022 Mar 25.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
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