差异通路分析

Differential Pathway Analysis.

作者信息

Fan Jean

机构信息

Department of Chemistry and Chemical Biology, Harvard University, Boston, MA, USA.

出版信息

Methods Mol Biol. 2019;1935:97-114. doi: 10.1007/978-1-4939-9057-3_7.

DOI:10.1007/978-1-4939-9057-3_7

PMID:30758822

Abstract

Integrating prior knowledge of pathway-level information can enhance power and facilitate interpretation of gene expression data analyses. Here, we provide a practical demonstration of the value of gene set or pathway enrichment testing and extend such techniques to identify and characterize transcriptional subpopulations from single-cell RNA-sequencing data using pathway and gene set overdispersion analysis (PAGODA).

摘要

整合通路水平信息的先验知识可以提高功效并促进基因表达数据分析的解释。在这里，我们提供了基因集或通路富集测试价值的实际演示，并扩展了此类技术，以使用通路和基因集过度分散分析（PAGODA）从单细胞RNA测序数据中识别和表征转录亚群。