电池类型
转录组
外周血单个核细胞
基因表达谱
细胞
反褶积
基因
细胞生物学
计算生物学
生物
遗传学
体外
计算机科学
算法
基因表达
出处
期刊:Methods in molecular biology
日期:2020-01-01
卷期号:: 263-276
被引量:118
标识
DOI:10.1007/978-1-0716-0327-7_19
摘要
Tissues are a complex milieu of cell types of different lineages and subtypes, each with its own unique transcriptomic profile. Bulk transcriptome profiling is therefore the sum of the cell-type-specific gene expression weighted by cell-type proportion in the given sample. Deconvolution of gene expression profiles allows to reconstruct the cellular composition of tissues. xCell is a robust computational method that converts gene expression profiles to enrichment scores of 64 immune and stroma cell types across samples. Here, we described the method, discuss correct usage, and demonstrate an analysis of a cohort of peripheral blood mononuclear cells (PBMC).
科研通智能强力驱动
Strongly Powered by AbleSci AI