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...

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Detaylı Bibliyografya
Asıl Yazarlar:	Jantarika Kumar Arora, Anunya Opasawatchai, Sarah A. Teichmann, Ponpan Matangkasombut, Varodom Charoensawan
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Elsevier 2023-09-01
Seri Bilgileri:	STAR Protocols
Konular:	Bioinformatics Single Cell RNAseq Immunology Gene Expression Systems Biology
Online Erişim:	http://www.sciencedirect.com/science/article/pii/S2666166723003544
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Computational workflow for investigating highly variable genes in single-cell RNA-seq across multiple time points and cell types

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