check_mismatch: Check for consistent identifiers
In Sage-Bionetworks/sageseqr: Identify differentially expressed genes counts data
check_mismatch R Documentation
Check for consistent identifiers
Description
Subsequent steps assume unique identifiers are present within both the counts
matrix and the metadata. This function checks whether samples in the counts
matrix match samples in the metadata, and vice versa.versa.
Usage
check_mismatch(md, count_df)
Arguments
md
A data frame with sample identifiers as row names and relevant experimental covariates.
count_df
A counts data frame with sample identifiers as column names
and gene Ids are rownames.
Sage-Bionetworks/sageseqr documentation built on June 13, 2024, 2:11 p.m.
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| check_mismatch | R Documentation |
Check for consistent identifiers
Description
Subsequent steps assume unique identifiers are present within both the counts matrix and the metadata. This function checks whether samples in the counts matrix match samples in the metadata, and vice versa.versa.
Usage
check_mismatch(md, count_df)
Arguments
md |
A data frame with sample identifiers as row names and relevant experimental covariates. |
count_df |
A counts data frame with sample identifiers as column names and gene Ids are rownames. |
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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