TME-NET: an interpretable deep neural network for predicting pan-cancer immune checkpoint inhibitor responses
Xiaobao Ding,
Lin Zhang,
Ming Fan
et al.
Abstract:Immunotherapy with immune checkpoint inhibitors (ICIs) is increasingly used to treat various tumor types. Determining patient responses to ICIs presents a significant clinical challenge. Although components of the tumor microenvironment (TME) are used to predict patient outcomes, comprehensive assessments of the TME are frequently overlooked. Using a top-down approach, the TME was divided into five layers—outcome, immune role, cell, cellular component, and gene. Using this structure, a neural network called TM… Show more
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