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Updated: Jul 21, 2025

Enrichment and Characterization of the Tumor Immune and Non-immune Microenvironments in Established Subcutaneous Murine Tumors
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StackTTCA:一个基于学习的堆叠组合框架,用于准确和高通量识别瘤T细胞抗原

Phasit Charoenkwan1, Nalini Schaduangrat2, Watshara Shoombuatong3

  • 1Modern Management and Information Technology, College of Arts, Media and Technology, Chiang Mai University, Chiang Mai, 50200, Thailand.

BMC bioinformatics
|July 28, 2023
PubMed
概括

我们开发了StackTTCA,这是一个机器学习框架,用于准确识别瘤T细胞抗原 (TTCA),用于癌症疫苗开发. 该方法改进了现有的技术,以更快,更精确地发现潜在的TTCA.

关键词:
生物信息学是一种生物信息学.功能选择 功能选择机器学习是机器学习.堆叠策略 堆叠策略 堆叠策略这是一种T细胞抗原.

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Tumor Immunotherapy01:27

Tumor Immunotherapy

Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.
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T Cell Activation and Clonal Selection01:22

T Cell Activation and Clonal Selection

T cells are integral to our adaptive immune system, recognizing and effectively responding to foreign antigens. T cell activation and clonal selection are pivotal in orchestrating this immune response. This article elucidates these mechanisms, detailing the roles of cluster of differentiation (CD) markers, major histocompatibility complex (MHC) molecules, costimulatory signals, and the process of clonal selection.
Naive T cells that have not yet encountered an antigen express two primary CD...
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