Comparison of scRNA-seq data analysis method combinations

• Published in: Briefings in functional genomics Vol. 21; no. 6; pp. 433 - 440
• Main Authors: Xu, Li, Xue, Tong, Ding, Weiyue, Shen, Linshan
• Format: Journal Article
• Language: English
• Published: England 17.11.2022
• Subjects: Cluster Analysis; Data Analysis; Gene Expression Profiling - methods; RNA - genetics; Sequence Analysis, RNA - methods; Single-Cell Analysis - methods; dimensionality reduction; scRNA-seq; clustering; normalization

Single-cell ribonucleic acid (RNA)-sequencing (scRNA-seq) data analysis refers to the use of appropriate methods to analyze the dataset generated by RNA-sequencing performed on the single-cell transcriptome. It usually contains three steps: normalization to eliminate the technical noise, dimensional...