BIMSA > Seminar on Bioinformatics Single-cell RNA-seq denoising using a deep count autoencoder
Single-cell RNA-seq denoising using a deep count autoencoder
Organizer
Shing Toung Yau
Speaker
Xiang Shi
Time
Monday, September 23, 2024 8:30 PM - 9:00 PM
Venue
Online
Abstract
The paper proposes a deep count autoencoder network (DCA) to denoise scRNA-seq datasets. DCA takes the count distribution, overdispersion and sparsity of the data into account using a negative binomial noise model with or without zero-inflation, and nonlinear gene-gene dependencies are captured. DCA outperforms existing methods for data imputation in quality and speed, enhancing biological discovery.