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Article

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

Scientific reports - 30 Aug 2021

Fujisawa Kota, Shimo Mamoru, Taguchi Y-H, Ikematsu Shinya, Miyata Ryota

Abstract excerpt

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...

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Identifiers

PMID: 34456333
DOI: 10.1038/s41598-021-95698-w
PMCID: PMC8403676

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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