Comparison of Bi- and Tri-Linear PLS Models for Variable Selection in Metabolomic Time-Series Experiments.
NPLS
PLS
bootstrapped-VIP
time series
variable selection
Journal
Metabolites
ISSN: 2218-1989
Titre abrégé: Metabolites
Pays: Switzerland
ID NLM: 101578790
Informations de publication
Date de publication:
09 May 2019
09 May 2019
Historique:
received:
03
03
2019
revised:
07
05
2019
accepted:
08
05
2019
entrez:
12
5
2019
pubmed:
12
5
2019
medline:
12
5
2019
Statut:
epublish
Résumé
Metabolomic studies with a time-series design are widely used for discovery and validation of biomarkers. In such studies, changes of metabolic profiles over time under different conditions (e.g., control and intervention) are compared, and metabolites responding differently between the conditions are identified as putative biomarkers. To incorporate time-series information into the variable (biomarker) selection in partial least squares regression (PLS) models, we created PLS models with different combinations of bilinear/trilinear
Identifiants
pubmed: 31075899
pii: metabo9050092
doi: 10.3390/metabo9050092
pmc: PMC6571821
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : China Scholarship Council
ID : 201506350127
Organisme : National Institutes of Health
ID : R01HL135486 and R01HL133932
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