Literature DB >> 31347163

Computational approaches for characterizing the tumor immune microenvironment.

Candace C Liu1, Chloé B Steen2, Aaron M Newman3,4.   

Abstract

Recent advances in high-throughput molecular profiling technologies and multiplexed imaging platforms have revolutionized our ability to characterize the tumor immune microenvironment. As a result, studies of tumor-associated immune cells increasingly involve complex data sets that require sophisticated methods of computational analysis. In this review, we present an overview of key assays and related bioinformatics tools for analyzing the tumor-associated immune system in bulk tissues and at the single-cell level. In parallel, we describe how data science strategies and novel technologies have advanced tumor immunology and opened the door for new opportunities to exploit host immunity to improve cancer clinical outcomes.
© 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  bioinformatics; cancer genomics; tumor immunology; tumor microenvironment

Mesh:

Substances:

Year:  2019        PMID: 31347163      PMCID: PMC6742767          DOI: 10.1111/imm.13101

Source DB:  PubMed          Journal:  Immunology        ISSN: 0019-2805            Impact factor:   7.397


  154 in total

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9.  Determining cell type abundance and expression from bulk tissues with digital cytometry.

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