Article

Identification of transcriptomics biomarker for the early prediction of critically ill COVID-19 patients

2022-08-22

Abstract excerpt

<h4>Objective: </h4> Identifying the biological subsets of severe COVID-19 could provide a basis for finding biomarkers for the early prediction of the prognosis of severe COVID-19 and poor prognosis, and may facilitate specific treatment for COVID-19. Methods In this study we downloaded microarray dataset GSE172114 from the Gene Expression Omnibus (GEO) database in NCBI, and screened differentially-expressed gen...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c6e8e437-01dc-5472-8262-87b13ec517cc
DOI: 10.21203/rs.3.rs-1838856/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Identification of transcriptomics biomarker for the early prediction of critically ill COVID-19 patientsDOI 10.21203/rs.3.rs-1838856/v1Read

Potential therapeutic targets for COVID-19 complicated with pulmonary hypertension: a bioinformatics and early validation studySemantic proximity Read

Exploration of prognostic factors for critical COVID-19 patients：a nomogram analysisSemantic proximity Read

Minimalistic Transcriptomic Signatures Permit Accurate Early Prediction of COVID-19 MortalitySemantic proximity Read

Identification of Transcriptome Biomarkers for Severe COVID-19 with Machine Learning MethodsSemantic proximity Read

Identification of Age-Related Characteristic Genes Involved in Severe COVID-19 Infection Among Elderly Patients using Machine Learning and Immune Cell Infiltration AnalysisSemantic proximity Read

Identification of key genes related to immune cells in patients with COVID-19 via Integrated Bioinformatics-Based AnalysisSemantic proximity Read

Molecular and Clinical Prognostic Biomarkers of COVID-19 Severity and PersistenceSemantic proximity Read

Identification of genes and signaling pathways associated with severe COVID-19: high-throughput data analysis with a system virology approachSemantic proximity Read

Combination of multiple omics and machine learning identifies diagnostic genes for ARDS and COVID-19Semantic proximity Read

A proteomic survival predictor for COVID-19 patients in intensive careSemantic proximity Read

Gene Expression Risk Scores for COVID-19 Illness SeveritySemantic proximity Read

Immunological and Prognostic Role of Hub Genes Defined Gene Signature in Septic CardiomyopathySemantic proximity Read