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Computational approaches for characterizing the tumor immune microenvironment.

Candace C LiuChloé B SteenAaron M Newman
Published in: Immunology (2020)
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.
Keyphrases
  • single cell
  • high throughput
  • rna seq
  • stem cells
  • electronic health record
  • gene expression
  • public health
  • big data
  • squamous cell carcinoma
  • data analysis
  • squamous cell
  • lymph node metastasis
  • childhood cancer