Article

Using unsupervised learning algorithms to identify essential genes associated with SARS-CoV-2 as potential therapeutic targets for COVID-19

2022-05-18

Abstract excerpt

<h4>Motivation</h4> Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) requires the fast discovery of effective treatments to fight this worldwide concern. Several genes associated with the SARS-CoV-2, which are essential for its functionality, pathogenesis, and survival, have been identified. These genes, which play crucial roles in SARS-CoV-2 infection, are considered potential therapeutic targets. De...

Topics

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

Identifiers and source

Literature Corpus work: 2afd11ac-5208-5c6d-b1f6-aea7b4b2a64e
DOI: 10.1101/2022.05.18.492443

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Using unsupervised learning algorithms to identify essential genes associated with SARS-CoV-2 as potential therapeutic targets for COVID-19DOI 10.1101/2022.05.18.492443Read

Identification of essential genes associated with SARS-CoV-2 infection as potential drug target candidates with machine learning algorithmsSemantic proximity Read

Between viral targets and differentially expressed genes in COVID-19: the sweet spot for therapeutic intervention.Semantic proximity Read

Transcriptome and SARS-CoV-2 biological network directed analysis for better therapeutic developmentSemantic proximity Read

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

Genomic Biomarker Heterogeneities Between SARS-CoV-2 and COVID-19Semantic proximity Read

Molecular signatures in the progression of COVID-19 severitySemantic proximity Read

Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in severe acute respiratory syndrome corona virus 2 infection/COVID 19Semantic proximity Read

Bioinformatics analysis of expression profiling by high throughput sequencing for identification of potential key genes among SARS-CoV-2/COVID 19Semantic proximity Read

Secondary Analysis of Transcriptomes of SARS-CoV-2 Infection Models to Characterize COVID-19Semantic proximity Read

Bioinformatics and system biology approach to identify the influences of SARS-CoV-2 infections to idiopathic pulmonary fibrosis and chronic obstructive pulmonary disease patientsSemantic proximity Read

A Connectivity Map-Based Drug Repurposing Study and Integrative Analysis of Transcriptomic Profiling of SARS-CoV-2 InfectionSemantic proximity Read

Integrated bioinformatics analysis to determine the impact of SARS-CoV-2 infections to Heart Failure patientsSemantic proximity Read