DeepTI: A deep learning-based framework decoding tumor-immune interactions for precision immunotherapy in oncology

Abstract excerpt

BACKGROUND: Increasing evidence suggests the immunomodulatory potential of genes in oncology. But the identification of immune attributes of genes is costly and time-consuming, which leads to an urgent demand to develop a prediction model. METHOD: We developed a deep learning-based model to predict the immune properties of genes. This model is trained in 70% of samples and evaluated in 30% of samples....

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