这篇论文研究的是Single-cell RNA sequencing (scRNA-seq) denoising, 也就是单细胞RNA测序的降噪,由于数据扩增和数据丢失等问题,会干扰scRNA-seq的数据分析,因此需要有降噪技术用于稀疏的scRNA-seq数据,作者提出了一种deep count autoencoder network (DCA),通过negative binomial noise model with or without zero-...
A deep count autoencoder network to denoise scRNA-seq data and remove the dropout effect by taking the count structure, overdispersed nature and sparsity of the data into account using a deep autoencoder with zero-inflated negative binomial (ZINB) loss function. ...