assignation_pos_HMDB: HMDB metabolites in positive ionization
In sipss/NIHSlcms: Signal processing of LC-MS metabolomics
Description
Usage
Arguments
Value
Examples
View source: R/HMDB_metabolites.R
Description
assignation_pos_HMDB is a function to identify the features in negative
ionization. It assumes protonation of molecules (M - H) from the feature
table and compares with mass of metabolites contained in the The Human
Metabolome Database HMDB_db.
Usage
1
assignation_pos_HMDB(feature_table)
Arguments
feature_table
A data frame containing feature in rows and samples in
columns. A column called "mz" is required with the corresponding mass of
each feature.
Value
The same feature table with two extra column with matched HMDB codes
and metabolites. More than one assignation is allowed.
Examples
1
2
3
4
5
## Not run:
FT <- assignation_pos_HMDB(feature_table)
head(FT)
## End(Not run)
sipss/NIHSlcms documentation built on May 13, 2021, 6:19 p.m.
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Description Usage Arguments Value Examples
View source: R/HMDB_metabolites.R
Description
assignation_pos_HMDB is a function to identify the features in negative
ionization. It assumes protonation of molecules (M - H) from the feature
table and compares with mass of metabolites contained in the The Human
Metabolome Database HMDB_db.
Usage
1 | assignation_pos_HMDB(feature_table)
|
Arguments
feature_table |
A data frame containing feature in rows and samples in columns. A column called "mz" is required with the corresponding mass of each feature. |
Value
The same feature table with two extra column with matched HMDB codes and metabolites. More than one assignation is allowed.
Examples
1 2 3 4 5 | ## Not run:
FT <- assignation_pos_HMDB(feature_table)
head(FT)
## End(Not run)
|
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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