Function for predicting COO using a normalized RNASeq dataset
Usage
coo_predict(norm_eset, model)
Arguments
- norm_eset
A normalized ExpressionSet, as returned by coo_normalize
- model
The fitted COO model.
Value
a matrix with three columns:
* Sample names
* LPS score prediction
* COO class
Details
This function uses the model generated on the GOYA dataset to
predict Cell of Origin on a normalized expression dataset. No subsetting
needs to be performed, but the expression matrix must have either refseq
(e.g. "geneID:7900") or ENSEMBL (e.g. ENSG....) gene IDs as the rownames