Article

Differential gene expression profiling reveals potential biomarkers and pharmacological compounds against SARS-CoV-2: insights from machine learning and bioinformatics approaches

2022-03-30

Abstract excerpt

<h4>ABSTRACT</h4> SARS-CoV-2 continues to spread and evolve worldwide, despite intense efforts to develop multiple vaccines and therapeutic options against COVID-19. Moreover, the precise role of SARS-CoV-2 in the pathophysiology of the nasopharyngeal tract (NT) is still unfathomable. Therefore, we used the machine learning methods to analyze 22 RNA-seq datasets from COVID-19 patients (n=8), recovered individuals...

Topics

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

Identifiers and source

Literature Corpus work: 509fb5de-70e3-5c33-8fc3-b90541641a03
DOI: 10.1101/2022.03.30.486356

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Differential gene expression profiling reveals potential biomarkers and pharmacological compounds against SARS-CoV-2: insights from machine learning and bioinformatics approachesDOI 10.1101/2022.03.30.486356Read

Differential gene expression profiling reveals potential biomarkers and pharmacological compounds against SARS-CoV-2: Insights from machine learning and bioinformatics approachesSemantic proximity Read

Transcriptomic Signatures and Repurposing Drugs for COVID-19 Patients: Findings of Bioinformatics AnalysesSemantic proximity Read

Large Scale Profiling of SARS-CoV-2-Infected Patients Identified Potential Therapeutic Host Targets and Drug Candidates for COVID-19Semantic proximity Read

Identification of potential biomarkers and inhibitors for SARS-CoV-2 infectionSemantic proximity Read

Identification of Novel Gene Signatures using Next-Generation Sequencing Data from COVID-19 Infection Models: Focus on Neuro-COVID and Potential TherapeuticsSemantic proximity Read

COVID-19 Transcriptomic Atlas: A Comprehensive Analysis of COVID-19 Related Transcriptomics DatasetsSemantic proximity Read

Identification of COVID-19 prognostic markers and therapeutic targets through meta-analysis and validation of Omics data from nasopharyngeal samplesSemantic proximity Read

Identification of key molecules in COVID-19 patients significantly correlated with clinical outcomes by analyzing transcriptomic dataSemantic proximity Read

Identification of key genes in SARS-CoV-2 patients on bioinformatics analysisSemantic proximity Read

Transcriptomic Analysis of the Peripheral Immune Cell of SARS-CoV-2 Infected Patients for Bridging the Genotype-Phenotype Gap and Drug Prediction: A Precision Medicine ApproachSemantic proximity Read

Transcriptomic dysregulations associated with SARS-CoV-2 infection in human nasopharyngeal and peripheral blood mononuclear cellsSemantic proximity Read

Systems Biology and Bioinformatics approach to Identify blood based signatures molecules and drug targets of patient with COVID-19Semantic proximity Read