Hugging Face Trending Papers

Biologically Informed Deep Neural Networks for Multi-Omic Integration, Pathway Activity Inference and Risk Stratification in Cancer

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Integrating complex, multi-omics data presents significant challenges. Existing approaches often face a trade-off between model interpretability and representational capacity, with most either relying on post-hoc interpretation or use linear models that may overlook complex interactions.

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arXiv Machine Learning
Jun 2

Interpretable Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification using Multi-Omics Data

arXiv:2503. 22939v4 Announce Type: replace Abstract: The integration of heterogeneous multi-omics datasets at a systems level remains a central challenge for developing analytical and computational models in precision cancer diagnostics.

By Fadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Harshith Guduru, Mohanad Mohammed
arXiv AI
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By Junfei Ling (Institute of Medical Robotics, Shanghai Jiao Tong University), Bangzheng Pu (Institute of Medical Robotics, Shanghai Jiao Tong University), Bingsen Xue (Institute of Medical Robotics, Shanghai Jiao Tong University), Tianle Li (Institute of Data Science, The University of Hong Kong), Ruying Hu (Oriental Pan-Vascular Devices Innovation College, University of Shanghai for Science and Technology), Cheng Jin (Institute of Medical Robotics, Shanghai Jiao Tong University)
arXiv AI
3d ago

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