Single-cell RNA-seq denoising using a deep count autoencoder
组织者
演讲者
石想
时间
2024年09月23日 20:30 至 21:00
地点
Online
摘要
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.