Developing a thyroid cancer differentiation state classification system using deep residual networks and metabolic signature profiling
We developed a deep residual network (ResNet) framework to classify thyroid cancer differentiation states by integrating multiomic data and interpretability analysis. Our framework incorporated untargeted metabolomic, whole-exome sequencing, and transcriptomic data from 158 thyroid…
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