@inbook{9247d50be0284296a4b91037c211c980,
title = "Computational deconvolution of tumor-infiltrating immune components with bulk tumor gene expression data",
abstract = "Tumor-infiltrating immune cells play critical roles in immune-mediated tumor rejection and/or progression, and are key targets of immunotherapies. Estimation of different immune subsets becomes increasingly important with the decreased cost of high-throughput molecular profiling and the rapidly growing amount of cancer genomics data. Here, we present Tumor IMmune Estimation Resource (TIMER), an in silico deconvolution method for inference of tumor-infiltrating immune components. TIMER takes bulk tissue gene expression profiles measured with RNA-seq or microarray to evaluate the abundance of six immune cell types in the tumor microenvironment: B cell, CD4+ T cell, CD8+ T cell, neutrophil, macrophage, and dendritic cell. We further introduce its associated webserver for convenient, user-friendly analysis of tumor immune infiltrates across multiple cancer types.",
keywords = "Cancer immunotherapy, Deconvolution, Infiltrating immune cells, Interactive website, RNA-seq, Tumor immune interaction",
author = "Bo Li and Taiwen Li and Liu, {Jun S.} and Liu, {X. Shirley}",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media, LLC, part of Springer Nature 2020.",
year = "2020",
doi = "10.1007/978-1-0716-0327-7_18",
language = "English (US)",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "249--262",
booktitle = "Methods in Molecular Biology",
}