Identification of Key Genes via Integrated Multi-Omics and Machine Learning Uncovers Tumor Biological Features and Prognostic BiSupplementary code, figures and tables.
Multi-omics and single-cell analysis reveals machine learning-based pyrimidine metabolism-related signature in the prognosis ofSupplementary figures and tables.
Development and validation of an explainable machine learning model to predict Delphian lymph node metastasis in papillary thyroSupplementary figures and tables.
Digitalization of Legacy Datasets and Machine Learning Regression Yields Insights for Reservoir Property Prediction and Submarine-Fan Evolution: A Subsurface Example From the Lewis Shale, Wyoming | Published in The Sedimentary Record
