Benchmarking of dimensionality reduction methods to capture drug response in transcriptome data
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Drug-induced transcriptomic data are crucial for understanding molecular mechanisms of action (MOAs), predicting drug efficacy, and identifying off-target effects. However, their high dimensionality presents challenges for analysis and interpretation. Dimensio... ...
