scPCA

scPCA is an R package introduced to analyze high-throughput sequencing data, aiming to address the challenge of extracting interpretable biological signals from data contaminated by technical noise. The methodology, termed sparse contrastive principal component analysis, combines aspects of classical dimensionality reduction techniques with subject-matter knowledge, allowing for the simultaneous recovery of stable, sparse, interpretable, and relevant features. Comparative evaluations against other dimensionality reduction approaches, conducted through simulation studies and analyses of diverse datasets, demonstrate the effectiveness of scPCA.