Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data.
methods of unsupervised machine learning (learning to) has demonstrated its usefulness in a single cell mRNA noisy data-sequencing (scRNA-seq), where models generalize well, although a zero-inflation of the data. A class of neural networks, namely autoencoders, has been useful for denoising a single cell data, imputed values and dimensions reduction.Here missing, we present a striking … Read more