| Zhang2023 | R Documentation |
A selection of reduced non-targeted metabolomics datasets from the article of Zhang et al.(2023)
data(Zhang2023)
A list with 6 components: GCTOF, HILICNEG, HILICPOS, metadata.
CHSNEGA matrix whose rows are 68 mice and columns are 163 metabolomic variables obtained by LC-MS.
CHSPOSA matrix whose rows are 68 mice and columns are 288 metabolomic variables obtained by LC-MS.
GCTOFA matrix whose rows are 68 mice and columns are 108 metabolomic variables obtained by GC-MS.
HILICNEGA matrix whose rows are 68 mice and columns are 44 metabolomic variables obtained by LC-MS.
HILICPOSA matrix whose rows are 68 mice and columns are 133 metabolomic variables obtained by LC-MS.
metadataA matrix whose rows are 68 mice and columns are the genotype group (Mutant/Wild) and the gender (Male/Female).
The 6 samples from 5 mutant groups (Dhfr, Gnpda1, Plk1, Sra1, Ulk3) and the 40 controls were retained, with the exception of 2 animals wM_035 (wild Male) et mM_102 (mutant Male) that had missing values in non-targeted metabolomics. Three HILIC-NEG (Ser_Asn, Théophylline, Val_Asp) and 2 HILIC-POS variables (Ser-His, Thr-Arg) were then removed due to missing or infinite values.
Zhang, Y.; Barupal, D.K.; Fan, S.; Gao, B.; Zhu, C.; Flenniken, A.M.; McKerlie, C.; Nutter, L.M.J.; Lloyd, K.C.K.; Fiehn, O. Sexual Dimorphism of the Mouse Plasma Metabolome Is Associated with Phenotypes of 30 Gene Knockout Lines. Metabolites 2023, 13, 947. https://doi.org/10.3390/metabo13080947
data(Zhang2023)
X <- Zhang2023$GCTOF
head(X)
Y <- Zhang2023$metadata
head(Y)
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