go_vals: Gene Ontology matrix of the BRCA gene expression dataset
In babelomics/hipathia: HiPathia: High-throughput Pathway Analysis
go_vals R Documentation
Gene Ontology matrix of the BRCA gene expression dataset
Description
Matrix of Gene Ontology terms activation values for the BRCA dataset.
This matrix is computed from the Results object returned by the
hipathia function by means of the quantify_terms function.
Usage
data(go_vals)
Format
Matrix with 40 columns and 1654 rows. Row names are Gene Ontology
terms and column names are the TCGA identifyers of the samples.
Details
go_vals <- quantify_terms(results, pathways, "GO")
Value
Matrix with 40 columns and 1654 rows. Row names are Gene Ontology
terms and column names are the TCGA identifyers of the samples.
babelomics/hipathia documentation built on July 27, 2022, 2:23 p.m.
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| go_vals | R Documentation |
Gene Ontology matrix of the BRCA gene expression dataset
Description
Matrix of Gene Ontology terms activation values for the BRCA dataset.
This matrix is computed from the Results object returned by the
hipathia function by means of the quantify_terms function.
Usage
data(go_vals)
Format
Matrix with 40 columns and 1654 rows. Row names are Gene Ontology terms and column names are the TCGA identifyers of the samples.
Details
go_vals <- quantify_terms(results, pathways, "GO")
Value
Matrix with 40 columns and 1654 rows. Row names are Gene Ontology terms and column names are the TCGA identifyers of the samples.
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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