Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review

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...

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Bibliographic Details
Main Authors: Matthew Brendel, Chang Su, Zilong Bai, Hao Zhang, Olivier Elemento, Fei Wang
Format: Article
Language:English
Published: Elsevier 2022-10-01
Series:Genomics, Proteomics & Bioinformatics
Subjects:
Single-cell RNA sequencing
Single-cell sequencing
Deep learning
Deep neural network
Artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S1672022922001668

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http://www.sciencedirect.com/science/article/pii/S1672022922001668

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