scRNA-seq for Microcephaly Research [III]: Computational Analysis of scRNA-seq Data.

Methods in molecular biology (Clifton, N.J.)(2023)

引用 1|浏览4
暂无评分
摘要
Single-cell transcriptomic analysis (scRNA-seq) can enable researchers to explore the gene expression patterns of thousands of individual cells simultaneously. Processing the complex data generated by scRNA-seq requires specialized computational tools. This chapter focuses on the analytical aspect of scRNA-seq workflow, with a focus on resolving biological signals from large-scale scRNA-seq data produced by the Drop-Seq platform.
更多
查看译文
关键词
Computational methods,Louvain clustering,PCA,scRNA-seq
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要