The Application of Single-Cell RNA-Sequencing Data Analysis to Assess Changes in Gene Expression

Authors

Mark Vincent Gatan, University of Nevada, Las VegasFollow
Hazel Jane Cadiz, University of Nevada, Las VegasFollow

Files

Description

Human diseases can be analyzed by studying the dysregulation of gene expression. This can be applied to: Alzheimer’s disease (AD), age-related changes in immune cells and neurons, and COVID-19. We sought to develop an scRNA-seq bioinformatics pipeline that would support future studies on gene expression in AD.

Publisher Location

Las Vegas (Nev.)

Publication Date

Spring 4-28-2023

Publisher

University of Nevada, Las Vegas

Language

English

Controlled Subject

Gene expression--Research

Disciplines

Genetics and Genomics

File Format

pdf

File Size

1665 KB

Comments

Faculty Mentor: Jingchun Chen

Recommended Citation

Gatan, Mark Vincent and Cadiz, Hazel Jane, "The Application of Single-Cell RNA-Sequencing Data Analysis to Assess Changes in Gene Expression" (2023). Undergraduate Research Symposium Posters. 167.
https://digitalscholarship.unlv.edu/durep_posters/167

Rights

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