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

Paweł P Łabaj; Joaquin Dopazo; Wenzhong Xiao; David P Kreil

doi:10.3389/fgene.2023.1154398

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

Front Genet. 2023 Feb 16:14:1154398. doi: 10.3389/fgene.2023.1154398. eCollection 2023.

Authors

Paweł P Łabaj¹, Joaquin Dopazo^{2

3}, Wenzhong Xiao^{4

5}, David P Kreil⁶

Affiliations

¹ Małopolska Centre of Biotechnology, Jagiellonian University, Kraków, Lesser Poland, Poland.
² Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, Sevilla, Spain.
³ Institute of Biomedicine of Seville, IBiS, University Hospital Virgen del Rocío/CSIC/University of Sevilla, Sevilla, Spain.
⁴ Genome Technology Center, School of Medicine, Stanford University, Palo Alto, CA, United States.
⁵ Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
⁶ Department of Biotechnology, Boku University Vienna, Vienna, Austria.

No abstract available

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

Publication types

Editorial