Published March 7, 2025
| Version v1
Dataset
Open
Identification of drug-resistant individual cells within tumors by semi-supervised transfer learning from bulk to single-cell transcriptome
Authors/Creators
Description
SSDA4Drug is a semi-supervised, few-shot transfer learning method that improves single-cell drug response predictions by transferring knowledge from bulk-level data. It accurately identifies drug-resistant subpopulations, aiding precision medicine and drug development.
Files
SSDA4Drug-main.zip
Files
(863.5 kB)
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