Profiling Cellular Ecosystems at Single-Cell Resolution and at Scale with EcoTyper.
Methods in molecular biology (Clifton, N.J.)(2023)
摘要
Tissues are composed of diverse cell types and cellular states that organize into distinct ecosystems with specialized functions. EcoTyper is a collection of machine learning tools for the large-scale delineation of cellular ecosystems and their constituent cell states from bulk, single-cell, and spatially resolved gene expression data. In this chapter, we provide a primer on EcoTyper and demonstrate its use for the discovery and recovery of cell states and ecosystems from healthy and diseased tissue specimens.
更多查看译文
关键词
Cell states,Ecosystems,Ecotypes,Single-cell RNA sequencing,Spatial transcriptomics,Tissue heterogeneity,Transcriptomics,Tumor microenvironment
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