NISC: Neural Network-Imputation for Single-Cell RNA Sequencing and Cell Type Clustering

Single-cell RNA sequencing (scRNA-seq) reveals the transcriptome diversity in heterogeneous cell populations as it allows researchers to study gene expression at single-cell resolution. The latest advances in scRNA-seq technology have made it possible to profile tens of thousands of individual cells...

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Detalhes bibliográficos

Principais autores:	Xiang Zhang, Zhuo Chen, Rahul Bhadani, Siyang Cao, Meng Lu, Nicholas Lytal, Yin Chen, Lingling An
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2022-05-01
coleção:	Frontiers in Genetics
Assuntos:	imputation deep learning single cell RNA-seq dropout autoencoder
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fgene.2022.847112/full
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