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Scientific Reports|March 26, 2021
Applying a bagging ensemble machine learning approach to predict functional outcome of schizophrenia with clinical symptoms and cognitive functionsEugene Lin, Chieh-Hsin Lin, Hsien-Yuan LaneSchizophrenia (Heidelberg, Germany)|February 22, 2025
Interpretable machine learning to evaluate relationships between DAO/DAOA (pLG72) protein data and features in clinical assessments, functional outcome, and cognitive function in schizophrenia patientsChieh-Hsin Lin, Eugene Lin, Hsien-Yuan LaneInternational Journal of Molecular Sciences|February 7, 2020
Precision Psychiatry Applications with Pharmacogenomics: Artificial Intelligence and Machine Learning ApproachesEugene Lin, Chieh-Hsin Lin, Hsien-Yuan LaneAsian Journal of Psychiatry|January 20, 2022
A bagging ensemble machine learning framework to predict overall cognitive function of schizophrenia patients with cognitive domains and testsEugene Lin, Chieh-Hsin Lin, Hsien-Yuan LaneInternational Journal of Molecular Sciences|August 7, 2021
Deep Learning with Neuroimaging and Genomics in Alzheimer's DiseaseEugene Lin, Chieh-Hsin Lin, Hsien-Yuan LaneFrontiers in Psychiatry|December 7, 2017
Genetic Biomarkers on Age-Related Cognitive DeclineChieh-Hsin Lin, Eugene Lin, Hsien-Yuan LaneAsian Journal of Psychiatry|December 21, 2023
Inference of social cognition in schizophrenia patients with neurocognitive domains and neurocognitive tests using automated machine learningEugene Lin, Chieh-Hsin Lin, Hsien-Yuan LaneScientific Reports|May 14, 2021
Prediction of functional outcomes of schizophrenia with genetic biomarkers using a bagging ensemble machine learning method with feature selectionEugene Lin, Chieh-Hsin Lin, Hsien-Yuan LaneJournal of Chemical Information and Modeling|February 7, 2022
De Novo Peptide and Protein Design Using Generative Adversarial Networks: An UpdateEugene Lin, Chieh-Hsin Lin, Hsien-Yuan LaneMolecules (Basel, Switzerland)|July 26, 2020
Relevant Applications of Generative Adversarial Networks in Drug Design and Discovery: Molecular De Novo Design, Dimensionality Reduction, and De Novo Peptide and Protein DesignEugene Lin, Chieh-Hsin Lin, Hsien-Yuan LanePageof 43