Precise uncertain significance prediction using latent space matrix factorization models: genomics variant and heterogeneous clinical data-driven approaches. - Sina Abdollahi; Peng-Chan Lin; Meng-Ru Shen; Jung-Hsien Chiang (Briefings Bioinform., 2021)

WinBinVec: Cancer-Associated Protein-Protein Interaction Extraction and Identification of 20 Various Cancer Types and Metastasis Using Different Deep Learning Models. - Sina Abdollahi; Peng-Chan Lin; Jung-Hsien Chiang (IEEE J. Biomed. Health Informatics, 2021)

DiaDeL: An Accurate Deep Learning-Based Model With Mutational Signatures for Predicting Metastasis Stage and Cancer Types. - Sina Abdollahi; Peng-Chan Lin; Jung-Hsien Chiang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Slice-Fusion: Reducing False Positives in Liver Tumor Detection for Mask R-CNN. - Deng-Yao Tu; Peng-Chan Lin; Hsin-Hung Chou; Meng-Ru Shen; Sun-Yuan Hsieh (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Pathogenicity Prediction of Single Amino Acid Variants With Machine Learning Model Based on Protein Structural Energies. - Tzu-Hsuan Wu; Peng-Chan Lin; Hsin-Hung Chou; Meng-Ru Shen; Sun-Yuan Hsieh (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

A GAN-based with expert-validated data augmentation method for wireless capsule endoscopy images of small intestine polyp. - Yu-Ting Chou; Sun-Yuan Hsieh; Peng-Chan Lin; Hsin-Yu Kuo; Hsin-Hung Chou (J. Supercomput., 2025)