train_metab: (Data) Normalized metabolite abundances for MMINP training
In MMINP: Microbe-Metabolite Interactions-Based Metabolic Profiles Predictor
train_metab R Documentation
(Data) Normalized metabolite abundances for MMINP training
Description
This datasets were built from PRISM dataset (Franzosa et al., 2019) by
converting original HMDB IDs into KEGG compound IDs and removing
unassigned and repeated features.
Format
A data frame of metabolite relative abundances (i.e. proportion),
with 155 subjects in rows and 135 KEGG compound IDs in columns.
References
Franzosa EA et al. (2019). Gut microbiome structure and metabolic
activity in inflammatory bowel disease. Nature Microbiology 4(2):293-305.
Examples
data(train_metab)
MMINP documentation built on July 5, 2022, 1:08 a.m.
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| train_metab | R Documentation |
(Data) Normalized metabolite abundances for MMINP training
Description
This datasets were built from PRISM dataset (Franzosa et al., 2019) by converting original HMDB IDs into KEGG compound IDs and removing unassigned and repeated features.
Format
A data frame of metabolite relative abundances (i.e. proportion), with 155 subjects in rows and 135 KEGG compound IDs in columns.
References
Franzosa EA et al. (2019). Gut microbiome structure and metabolic activity in inflammatory bowel disease. Nature Microbiology 4(2):293-305.
Examples
data(train_metab)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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