: An important step in single-cell RNAseq data analysis is the preparation of the single cell transcription data for cell sub-population partitioning. In this chapter, we describe how to perform complexity reduction for 3' end single-cell RNAseq transcriptomics data.

Single-Cell RNAseq Complexity Reduction

Cordero, Francesca
;
Calogero, Raffaele A
Last
2023-01-01

Abstract

: An important step in single-cell RNAseq data analysis is the preparation of the single cell transcription data for cell sub-population partitioning. In this chapter, we describe how to perform complexity reduction for 3' end single-cell RNAseq transcriptomics data.
2023
Single Cell Transcriptomics: Methods and Protocols
Calogero Raffaele
2584
217
230
978-1-0716-2755-6
978-1-0716-2756-3
Data preprocessing; Dimensionality reduction; Single cell transcriptomics
Cordero, Francesca; Calogero, Raffaele A
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1893874
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