scLENS: data-driven signal detection for unbiased scRNA-seq data analysis
Abstract High dimensionality and noise have limited the new biological insights that can be discovered in scRNA-seq data.While dimensionality reduction tools have been developed to extract biological signals from the data, they often require manual determination of signal dimension, introducing user bias.Furthermore, INCENSE SANDALWOOD a common dat