/scTransferLearning

Supporting information for "Drug combination prioritization for cancer treatment using single-cell RNA-seq based transfer learning"

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scTransferLearning

Interested in mapping your cells?

Please install symphony and download the following files: Code > umapBRCA and Results > refBRCA.RData, then you can use the following commands to map your cells to the reference:

library(symphony)
load('refBRCA.RData')
Q <- mapQuery(yourData, metadata_query = yourMetaData, ref_obj = clBRCA)
Q <- knnPredict(Q, clBRCA, clBRCA$meta_data$cellLine, k = 5)

The object Q will contain the learned cell line for each cell used as input.