genetable_to_matrix: Convert a gene expression data table into a caret-friendly...
In rmauntz/Larson_cfRNA_DarkChannelBiomarkers: A comprehensive characterization of the cell-free transcriptome reveals tissue- and subtype-specific biomarkers for cancer detection
Description
Usage
Arguments
Value
Description
Gene expression data tables follow tidy conventions where a separate gene_id column is used in
place of row names. Caret expects explanatory variables (in this case genes) to be columns.
This function transposes the rna expression table and adds the gene_ids as column names.
Usage
1
genetable_to_matrix(expression, transpose = TRUE)
Arguments
expression
A table with a column "gene_id" that contains expression estimates.
transpose
Set to TRUE to transpose rows and columns.
Value
A matrix where genes are columns and samples are rows.
rmauntz/Larson_cfRNA_DarkChannelBiomarkers documentation built on Jan. 30, 2021, 12:47 a.m.
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Description Usage Arguments Value
Description
Gene expression data tables follow tidy conventions where a separate gene_id column is used in place of row names. Caret expects explanatory variables (in this case genes) to be columns. This function transposes the rna expression table and adds the gene_ids as column names.
Usage
1 | genetable_to_matrix(expression, transpose = TRUE)
|
Arguments
expression |
A table with a column "gene_id" that contains expression estimates. |
transpose |
Set to |
Value
A matrix where genes are columns and samples are rows.
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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