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

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