R/drugSensitivity.R
loadExpressionDrugSensitivityAssociation.Rd
Load gene expression and drug sensitivity correlation matrix
loadExpressionDrugSensitivityAssociation(
source,
file = NULL,
path = NULL,
rows = NULL,
cols = NULL,
loadValues = FALSE
)
Character: source of matrix to load; see
listExpressionDrugSensitivityAssociation
Character: filepath to gene expression and drug sensitivity association dataset (automatically downloaded if file does not exist)
Character: folder where to find files (optional; file
may
contain the full filepath if preferred)
Character or integer: rows
Character or integer: columns
Boolean: load data values (if available)? If FALSE
,
downstream functions will load and process directly from the file chunk by
chunk, resulting in a lower memory footprint
Correlation matrix between gene expression (rows) and drug sensitivity (columns)
Other functions related with the prediction of targeting drugs:
as.table.referenceComparison()
,
listExpressionDrugSensitivityAssociation()
,
plot.referenceComparison()
,
plotTargetingDrugsVSsimilarPerturbations()
,
predictTargetingDrugs()
gdsc <- listExpressionDrugSensitivityAssociation()[[1]]
loadExpressionDrugSensitivityAssociation(gdsc)
#> Loading data from expressionDrugSensitivityCorGDSC7.qs...
#> Error in qread(file): Malformed compress block: compressed size > compress bound