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Cell Maps for Artificial Intelligence: AI-Ready Maps of Human Cell Architecture from Disease-Relevant Cell Lines.
Clark, Timothy; Mohan, Jillian; Schaffer, Leah; Obernier, Kirsten; Al Manir, Sadnan; Churas, Christopher P; Dailamy, Amir; Doctor, Yesh; Forget, Antoine; Hansen, Jan Niklas; Hu, Mengzhou; Lenkiewicz, Joanna; Levinson, Maxwell Adam; Marquez, Charlotte; Nourreddine, Sami; Niestroy, Justin; Pratt, Dexter; Qian, Gege; Thaker, Swathi; Bélisle-Pipon, Jean-Christophe; Brandt, Cynthia; Chen, Jake; Ding, Ying; Fodeh, Samah; Krogan, Nevan; Lundberg, Emma; Mali, Prashant; Payne-Foster, Pamela; Ratcliffe, Sarah; Ravitsky, Vardit; Sali, Andrej; Schulz, Wade; Ideker, Trey.
Afiliación
  • Clark T; University of Virginia.
  • Mohan J; University of California San Diego.
  • Schaffer L; University of California San Diego.
  • Obernier K; University of California San Francisco.
  • Al Manir S; University of Virginia.
  • Churas CP; University of California San Diego.
  • Dailamy A; University of California San Diego.
  • Doctor Y; University of California San Diego.
  • Forget A; University of California San Francisco.
  • Hansen JN; Stanford University.
  • Hu M; University of California San Diego.
  • Lenkiewicz J; University of California San Diego.
  • Levinson MA; University of Virginia.
  • Marquez C; University of California San Diego.
  • Nourreddine S; University of California San Diego.
  • Niestroy J; University of Virginia.
  • Pratt D; University of California San Diego.
  • Qian G; University of California San Diego.
  • Thaker S; University of Alabama at Birmingham.
  • Bélisle-Pipon JC; Simon Fraser University.
  • Brandt C; Yale University.
  • Chen J; University of Alabama at Birmingham.
  • Ding Y; University of Texas at Austin.
  • Fodeh S; Yale University.
  • Krogan N; University of California San Francisco.
  • Lundberg E; Stanford University.
  • Mali P; University of California San Diego.
  • Payne-Foster P; University of Alabama.
  • Ratcliffe S; University of Virginia.
  • Ravitsky V; University of Montreal.
  • Sali A; University of California San Francisco.
  • Schulz W; Yale University.
  • Ideker T; University of California San Diego.
bioRxiv ; 2024 May 24.
Article en En | MEDLINE | ID: mdl-38826258
ABSTRACT
This article describes the Cell Maps for Artificial Intelligence (CM4AI) project and its goals, methods, standards, current datasets, software tools , status, and future directions. CM4AI is the Functional Genomics Data Generation Project in the U.S. National Institute of Health's (NIH) Bridge2AI program. Its overarching mission is to produce ethical, AI-ready datasets of cell architecture, inferred from multimodal data collected for human cell lines, to enable transformative biomedical AI research.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article