Interpretable Machine Learning Approach Reveals Developmental Gene Expression Biomarkers for Cancer Patient Outcomes at Early Stages. - Alisha Kamat; Ting Jin; So Yeon Min; Flaminia Talos; Jonas S. Almeida; Daifeng Wang (BCB, 2018)

ECMarker: interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages. - Ting Jin; Nam D. Nguyen; Flaminia Talos; Daifeng Wang (Bioinform., 2021)