Predicting Biochemical and Physiological Parameters: Deep Learning from IgG Glycome Composition.
IgG
N-glycosylation
biochemical parameters
cardiometabolic events
deep learning
elastic net
physiological parameters
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
16 Sep 2024
16 Sep 2024
Historique:
received:
17
07
2024
revised:
29
08
2024
accepted:
11
09
2024
medline:
29
9
2024
pubmed:
28
9
2024
entrez:
28
9
2024
Statut:
epublish
Résumé
In immunoglobulin G (IgG),
Identifiants
pubmed: 39337475
pii: ijms25189988
doi: 10.3390/ijms25189988
pii:
doi:
Substances chimiques
Immunoglobulin G
0
Polysaccharides
0
Biomarkers
0
glycosylated IgG
0
Glycoproteins
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Croatian Science Foundation
ID : IP-2022-10-1358