Computational approaches for characterizing the tumor immune microenvironment.
Immunology
; 158(2): 70-84, 2019 10.
Article
en En
| MEDLINE
| ID: mdl-31347163
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.
Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Programas Informáticos
/
Regulación Neoplásica de la Expresión Génica
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Biología Computacional
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Microambiente Tumoral
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Antígenos de Neoplasias
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Neoplasias
Límite:
Humans
Idioma:
En
Revista:
Immunology
Año:
2019
Tipo del documento:
Article
País de afiliación:
Estados Unidos