Article

Deep Learning Analysis of Single-Cell Data Reveals Unique Genetic Features Of COVID-19 Severities

2023-06-12

Abstract excerpt

<title>Abstract</title> <p> COVID-19 was declared by the World Health Organization in 2020 to be a pandemic. Analysis of COVID-19 related genetic pathways allows for a better understanding of the possible effects and sequelae of the disease. Using 6178 scRNA sequenced human cells, having a status of control/mild/severe COVID-19 disease status, differential expression of genes and pathways was analyzed. Using Gen...

Topics

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

Identifiers and source

Literature Corpus work: af98ae31-93bf-54e7-a039-b06cf98a056c
DOI: 10.21203/rs.3.rs-1754568/v3

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep Learning Analysis of Single-Cell Data Reveals Unique Genetic Features Of COVID-19 SeveritiesDOI 10.21203/rs.3.rs-1754568/v3Read

Investigating Cellular Trajectories in the Severity of COVID-19 and Their Transcriptional Programs Using Machine Learning ApproachesSemantic proximity Read

Multiomic analysis reveals cell-type-specific molecular determinants of COVID-19 severity.Semantic proximity Read

Common and rare variant analyses combined with single-cell multiomics reveal cell-type-specific molecular mechanisms of COVID-19 severitySemantic proximity Read

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

The Existence of At Least Three Genomic Signature Patterns and At Least Seven Subtypes of COVID-19 and the End of the DiseaseSemantic proximity Read

Five Critical Genes Related to Seven COVID-19 Subtypes: A Data Science DiscoverySemantic proximity Read

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

The risk of COVID-19 can be predicted by a nomogram based on the m6A-related geneSemantic proximity Read

Single cell sequencing analysis uncovers genetics-influenced CD16+monocytes and memory CD8+T cells involved in severe COVID-19Semantic proximity Read

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

Inferring Disease Progressive Stages in Single-Cell Transcriptomics Using Weakly-Supervised Deep Learning ApproachSemantic proximity Read

Integrated analyses of single-cell RNA-seq public data reveal the gene regulatory network landscape of respiratory epithelial and peripheral immune cells in COVID-19 patientsSemantic proximity Read