PCA-based unsupervised feature extraction for gene expression analysis of COVID-19 patients

Volume: 11, Issue: 1
Published: Aug 30, 2021
Abstract
Coronavirus disease 2019 (COVID-19) is raging worldwide. This potentially fatal infectious disease is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, the complete mechanism of COVID-19 is not well understood. Therefore, we analyzed gene expression profiles of COVID-19 patients to identify disease-related genes through an innovative machine learning method that enables a data-driven strategy for gene selection...
Paper Details
Title
PCA-based unsupervised feature extraction for gene expression analysis of COVID-19 patients
Published Date
Aug 30, 2021
Volume
11
Issue
1
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