BioinformaticsbioRxivPreprint
Random Matrix Theory-guided sparse PCA for single-cell RNA-seq data
This paper improves PCA for single-cell RNA-seq by using Random Matrix Theory to guide sparse PCA, enhancing reconstruction and classification performance.
DOI 10.64898/2026.02.26.708218