Computational workflow for investigating highly variable genes in single-cell RNA-seq across multiple time points and cell types

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 steps for...

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Detalles Bibliográficos
Autores principales: Arora, Jantarika Kumar, Opasawatchai, Anunya, Teichmann, Sarah A., Matangkasombut, Ponpan, Charoensawan, Varodom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10331590/
https://www.ncbi.nlm.nih.gov/pubmed/37379219
http://dx.doi.org/10.1016/j.xpro.2023.102387

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10331590/
https://www.ncbi.nlm.nih.gov/pubmed/37379219
http://dx.doi.org/10.1016/j.xpro.2023.102387

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