Shangru Jia

vDeepInsight introduces a 3D voxel carrier for tabular data that improves feature neighborhood representation, leading to better performance in gene expression tasks.

This paper develops a dynamic multimodal model for survival prediction in multiple myeloma using gene expression, lab data, and treatment history, achieving higher accuracy than existing methods.

scHDeepInsight improves immune cell classification in scRNA-seq by using a hierarchical deep learning framework with adaptive loss and image-based features, achieving 93.2% accuracy across seven datasets.

The paper introduces MRep-DeepInsight, a method that improves tabular data analysis by using multiple representations, showing better accuracy than traditional methods on various datasets.

scDeepInsight improves cell-type annotation in scRNA-seq by using supervised deep learning, achieving higher accuracy than existing methods.