Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data

Unsupervised machine learning methods (deep learning) have shown their usefulness with noisy single cell mRNA-sequencing data (scRNA-seq), where the models generalize well, despite the zero-inflation of the da...

Source: BMC Bioinformatics - July 8, 2019 Category: Bioinformatics Authors: Savvas Kinalis, Finn Cilius Nielsen, Ole Winther and Frederik Otzen Bagger Tags: Methodology article Source Type: research