Nature

Benchmarking of dimensionality reduction methods to capture drug response in transcriptome data

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 ...
Nature

Dimensionality reduction in hyperspectral imaging using standard deviation-based band selection for efficient classification

Hyperspectral imaging generates vast amounts of data containing spatial and spectral information. Dimensionality reduction methods can reduce data size while preserving essential spectral features and ...