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Development of computational methods to analyse single-cell RNA-sequencing data of γδ-T cells in human peripheral blood and breast cancer

2021-01-01

Abstract excerpt

With the improvement of sequencing protocols and decreasing sequencing costs, single-cell RNA sequencing has become widely accessible. Cells, once thought to be of the same type based on their location or morphology, are increasingly found to be heterogeneous with respect to gene expression levels. Computational analysis of single cell transcriptome data allows the identification of novel and rare cell populations...

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Literature Corpus work: 0d532d71-de4a-5ae1-9746-5af4477354ae
DOI: 10.7488/era/1414

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