Machine Learning, COVID-19 (2019-nCoV), and multi-OMICS.
Identifieur interne : 000594 ( an2020/Analysis ); précédent : 000593; suivant : 000595Machine Learning, COVID-19 (2019-nCoV), and multi-OMICS.
Auteurs : Attila Tárnok [Allemagne]Source :
- Cytometry. Part A : the journal of the International Society for Analytical Cytology [ 1552-4930 ] ; 2020.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- genetics : Betacoronavirus.
- metabolism : Betacoronavirus.
- prevention & control : Coronavirus Infections, Pneumonia, Viral.
- transmission : Coronavirus Infections, Pneumonia, Viral.
- Genomics, Humans, Machine Learning.
DOI: 10.1002/cyto.a.23990
PubMed: 32142596
Affiliations:
Links toward previous steps (curation, corpus...)
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- to stream PubMed, to step Curation: 000777
- to stream PubMed, to step Checkpoint: 000552
- to stream Ncbi, to step Merge: 000E04
- to stream Ncbi, to step Curation: 000E04
- to stream Ncbi, to step Checkpoint: 000E04
- to stream Main, to step Merge: 000596
- to stream Main, to step Curation: 000594
- to stream Main, to step Exploration: 000594
- to stream an2020, to step Extraction: 000594
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pubmed:32142596Le document en format XML
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