The dataset bccs_classifier_genes
is a tibble (data.frame) with one record
for each of the 430 genes used in the Multi-kTSP models presented here.
This data.frame can be used to create the expression matrix needed for
BCCS classification from whole-transcriptome datasets created with various
technologies.
1 |
A tibble with 430 records and the following columns.
<chr> gene symbol
<chr> ENTREZID of the gene
<chr> preferred Affymetrix hgu133a probe to represent the gene
<chr> preferred IlluminaHuman v3 probe to represent the gene
<chr> Ensembl format gene identifier
To create the needed expression matrix from, e.g., an Affymetrix
expression dataset, the features should be restricted to the probes in the
affy_feature
column, row names set to the corresponding SYMBOL
and column names set to the sample identifiers.
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