Investigating Cellular Trajectories in the Severity of COVID-19 and Their Transcriptional Programs Using Machine Learning Approaches

Investigating Cellular Trajectories in the Severity of COVID-19 and Their Transcriptional Programs Using Machine Learning Approaches

Single-cell RNA sequencing of the bronchoalveolar lavage fluid (BALF) samples from COVID-19 patients has enabled us to examine gene expression changes of human tissue in response to the SARS-CoV-2 virus infection. However, the underlying mechanisms of COVID-19 pathogenesis at single-cell resolution,...

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Bibliographic Details
Main Authors: Hyun-Hwan Jeong, Johnathan Jia, Yulin Dai, Lukas M. Simon, Zhongming Zhao
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Genes
Subjects:
COVID-19
bronchoalveolar lavage fluid
single cell RNA-seq
trajectory inference
machine learning
deep learning
Online Access:https://www.mdpi.com/2073-4425/12/5/635

Internet

https://www.mdpi.com/2073-4425/12/5/635

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