Investigation and identification of protein carbonylation sites based on position-specific amino acid composition and physicochemical features. - Shun-Long Weng; Kai-Yao Huang; Fergie Joanda Kaunang; Chien-Hsun Huang; Hui-Ju Kao; Tzu-Hao Chang; Hsin-Yao Wang; Jang-Jih Lu; Tzong-Yi Lee (BMC Bioinform., 2017)

Machine Learning-Based Method for Obesity Risk Evaluation Using Single-Nucleotide Polymorphisms Derived from Next-Generation Sequencing. - Hsin-Yao Wang; Shih-Cheng Chang; Wan-Ying Lin; Chun-Hsien Chen; Szu-Hsien Chiang; Kai-Yao Huang; Bo-Yu Chu; Jang-Jih Lu; Tzong-Yi Lee (J. Comput. Biol., 2018)

Predicting breast cancer metastasis by using serum biomarkers and clinicopathological data with machine learning technologies. - Yi-Ju Tseng; Chuan-En Huang; Chiao-Ni Wen; Po-Yin Lai; Min-Hsien Wu; Yu-Chen Sun; Hsin-Yao Wang; Jang-Jih Lu (Int. J. Medical Informatics, 2019)

Rapid classification of group B Streptococcus serotypes based on matrix-assisted laser desorption ionization-time of flight mass spectrometry and machine learning techniques. - Hsin-Yao Wang; Wen-Chi Li; Kai-Yao Huang; Chia-Ru Chung; Jorng-Tzong Horng; Jen-Fu Hsu; Jang-Jih Lu; Tzong-Yi Lee (BMC Bioinform., 2019)

A large-scale investigation and identification of methicillin-resistant Staphylococcus aureus based on peaks binning of matrix-assisted laser desorption ionization-time of flight MS spectra. - Hsin-Yao Wang; Chia-Ru Chung; Zhuo Wang; Shangfu Li; Bo-Yu Chu; Jorng-Tzong Horng; Jang-Jih Lu; Tzong-Yi Lee (Briefings Bioinform., 2021)

Long short-term memory model - A deep learning approach for medical data with irregularity in cancer predication with tumor markers. - Xiaoxing Wu; Hsin-Yao Wang; Peichang Shi; Rong Sun; Xiaolin Wang; Zhixiao Luo; Fanling Zeng; Michael S. Lebowitz; Wan-Ying Lin; Jang-Jih Lu; Richard Scherer; Olivia Price; et al. (Comput. Biol. Medicine, 2022)

A risk assessment framework for multidrug-resistant Staphylococcus aureus using machine learning and mass spectrometry technology. - Zhuo Wang; Yuxuan Pang; Chia-Ru Chung; Hsin-Yao Wang; Haiyan Cui; Ying-Chih Chiang; Jorng-Tzong Horng; Jang-Jih Lu; Tzong-Yi Lee (Briefings Bioinform., 2023)