Editorial: Critical assessment of massive data analysis (CAMDA) annual conference 2021

Frontiers in Genetics

Genetics

Joaquin Dopazo¹  David P. Kreil²  Wenzhong Xiao³  Paweł P. Łabaj⁴ 

[1] Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, Sevilla, Spain;Institute of Biomedicine of Seville, IBiS, University Hospital Virgen del Rocío/CSIC/University of Sevilla, Sevilla, Spain;Department of Biotechnology, Boku University Vienna, Vienna, Austria;Genome Technology Center, School of Medicine, Stanford University, Palo Alto, CA, United States;Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States;Małopolska Centre of Biotechnology, Jagiellonian University, Kraków, Lesser Poland, Poland;

关键词: data analysis;    benchmarking;    open-ended competition;    disease mechanisms;    COVID-19;    drug induced liver injury (DILI);    machine learning;    artificial intelligence—AI;   

DOI  :  10.3389/fgene.2023.1154398

 received in 2023-01-30, accepted in 2023-02-06,  发布年份 2023

来源: Frontiers

【 授权许可】

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Copyright © 2023 Łabaj, Dopazo, Xiao and Kreil.