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. 2018 Jan 31;10(2):164. doi: 10.3390/nu10020164
AA arachidonic acid
ALNA alpha-Linolenic acid
AoV-PLS analysis of variance combined to partial least squares regression
AUC area under the curve
CL cardiolipine
DG diacylglycerol
DGLA dihomo-gamma-linolenic acid
DHA docosahexanoic acid
GA gestational age
GLNA gamma-linolenic acid
EPA eicosapentaenoic acid
ESI electrospray ionization
FDR false discovery rate
LA linoleic acid
LC-HR-MS liquid-chromatography–high-resolution-mass-spectrometry
LC-PUFA long-chain PUFA
MG PLS-DA multi-group partial least squares discriminant analysis
MLR multiple linear regression
MCSAT medium-chain saturated fatty acids
MUFA mono-unsaturated fatty acids
PC phosphocholine
PE phsosphethanolamine
PG phosphatidylglycerol
PI phosphoinositol
PS phosphoserine
PUFA polyunsaturated fatty acid
SAT saturated fatty acids
ROC receiver operating-characteristic
SD standard deviation
SM sphingomyéline
TG triacylglycerol
W4M workflow4metabolomics®
AA arachidonic acid
ALNA alpha-linolenic acid
AoV-PLS analysis of variance combined to partial least squares
AUC area under the curve
CL cardiolipine
DG diacylglycerol
DGLA dihomo-gamma-linolenic acid
DHA docosahexanoic acid
GA gestational age
GLNA gamma-linolenic acid
EPA eicosapentaenoic acid
ESI electrospray ionization
FDR false discovery rate
LA linoleic acid
LC-HR-MS liquid-chromatography–high-resolution-mass-spectrometry
LC-PUFA long-chain PUFA
MCSAT medium chain-saturated fatty acid
MG PLS-DA multi-group partial least squares-discriminant analysis
MLR multiple linear regression
MUFA mono-unsaturated fatty acids
PC phosphocholine
PE phosphoethanolamine
PG phosphatidylglycerol
PI phosphoinositol
PS phosphoserine
PUFA polyunsaturated fatty acid
SAT saturated fatty acids
ROC receiver operating-characteristic
SD standard deviation
SM sphingomyéline
TG triacylg lycerol
W4M workflow4metabolomics®