matrix_to_genetable: Convert a caret-friendly matrix into a gene expression data...
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
This function transposes the rna expression table and adds the gene_ids column.
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.
Usage
1
matrix_to_genetable(expression_matrix, genes_as_cols = TRUE)
Arguments
expression_matrix
A matrix where column names correspond to gene_id.
genes_as_cols
In classical ML, features are columns. Sometimes we have matrices where
features (genes) are rows. Set this to FALSE in order to handle this case.
Value
A data table with gene_id as a column.
rmauntz/Larson_cfRNA_DarkChannelBiomarkers documentation built on Jan. 30, 2021, 12:47 a.m.
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Description Usage Arguments Value
Description
This function transposes the rna expression table and adds the gene_ids column. 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.
Usage
1 | matrix_to_genetable(expression_matrix, genes_as_cols = TRUE)
|
Arguments
expression_matrix |
A matrix where column names correspond to gene_id. |
genes_as_cols |
In classical ML, features are columns. Sometimes we have matrices where
features (genes) are rows. Set this to |
Value
A data table with gene_id as a column.
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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