Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review
Single-cell RNA sequencing (scRNA-seq) has become a routinely used technique to quantify the gene expression profile of thousands of single cells simultaneously. Analysis of scRNA-seq data plays an important role in the study of cell states and phenotypes, and has helped elucidate biological process...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-10-01
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Series: | Genomics, Proteomics & Bioinformatics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1672022922001668 |