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- W3142082210 abstract "Single-cell RNAseq data can be generated using various technologies, spanning from isolation of cells by FACS sorting or droplet sequencing, to the use of frozen tissue sections retaining spatial information of cells in their morphological context. The analysis of single cell RNAseq data is mainly focused on the identification of cell subpopulations characterized by specific gene markers that can be used to purify the population of interest for further biological studies. This chapter describes the steps required for dataset clustering and markers detection using a droplet dataset and a spatial transcriptomics dataset." @default.
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- W3142082210 date "2021-01-01" @default.
- W3142082210 modified "2023-09-27" @default.
- W3142082210 title "Computational Analysis of Single-Cell RNA-Seq Data" @default.
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- W3142082210 doi "https://doi.org/10.1007/978-1-0716-1307-8_16" @default.
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