Computational workflow for investigating highly variable genes in single-cell RNA-seq across multiple time points and cell types
Summary: Here, we present a computational approach for investigating highly variable genes (HVGs) associated with biological pathways of interest, across multiple time points and cell types in single-cell RNA-sequencing (scRNA-seq) data. Using public dengue virus and COVID-19 datasets, we describe s...
Main Authors: | Jantarika Kumar Arora, Anunya Opasawatchai, Sarah A. Teichmann, Ponpan Matangkasombut, Varodom Charoensawan |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-09-01
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Series: | STAR Protocols |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666166723003544 |
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