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MULTI-MODAL APPROACH TO PREDICTING IMMUNE INFILTRATION BASED ON INTEGRATED RNA EXPRESSION AND IMAGING FEATURES
MULTI-MODAL APPROACH TO PREDICTING IMMUNE INFILTRATION BASED ON INTEGRATED RNA EXPRESSION AND IMAGING FEATURES
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机译:基于整合的RNA表达和成像功能的多模态免疫浸润预测
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摘要
Multi-modal approaches to predict tumor immune infiltration are based on integrating gene expression data and imaging features in a neural network-based framework. This framework is configured to estimate percent composition, and thus immune infiltration score, of a patient tumor biopsy sample. Multi-modal approaches may also be used to predict cell composition beyond immune cells via integrated multi-layer neural network frameworks.
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