规范化(社会学)
可视化
计算生物学
RNA序列
鉴定(生物学)
单细胞测序
聚类分析
生物
计算机科学
基因
转录组
数据挖掘
人工智能
遗传学
基因表达
外显子组测序
植物
社会学
人类学
突变
作者
Madhu Sudhana Saddala,Srilatha Mundla,Naina Patyal,SK Dash
出处
期刊:Methods in molecular biology
日期:2023-01-01
卷期号:: 91-106
标识
DOI:10.1007/978-1-0716-3255-0_6
摘要
Single-cell RNA sequencing (scRNA-seq) experiment reveals previously unseen molecular features. The number of sequencing procedures and computational data analysis approaches has been increasing rapidly in recent years. This chapter provides a general idea of the single-cell data analysis and visualization. An introduction and practical guidance for the 10× sequencing data analysis and visualization are presented. Basic data analysis approaches are highlighted, followed by quality control of data, filtering in cell level and gene level, normalization, dimensional reduction, clustering analysis, and marker identification.
科研通智能强力驱动
Strongly Powered by AbleSci AI