Eugene Lin

Relevant Applications of Generative Adversarial Networks in Drug Design and Discovery: Molecular De Novo Design, Dimensionality Reduction, and De Novo Peptide and Protein Design

Eugene Lin, Chieh-Hsin Lin, Hsien-Yuan Lane, 2020, Molecules.

Precision Psychiatry Applications with Pharmacogenomics: Artificial Intelligence and Machine Learning Approaches

Eugene Lin, Chieh-Hsin Lin, Hsien-Yuan Lane, 2020, International journal of molecular sciences.

Machine Learning in Neural Networks.

Eugene Lin, Shih-Jen Tsai, S. Tsai, 2019, Advances in experimental medicine and biology.

A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis

Sudipto Mukherjee, Sreeram Kannan, Eugene Lin, 2020, BMC Bioinformatics.

Scalable Vision System for Mouse Homecage Ethology

Monson H. Hayes, Kristin Branson, Ghadi Salem, 2016, ACIVS.

Diagnostic Prediction Based on Gene Expression Profiles and Artificial Neural Networks

Eugene Lin, Shih-Jen Tsai, Shih-Jen Tsai, 2018 .

Prediction of Antidepressant Treatment Response and Remission Using an Ensemble Machine Learning Framework

Eugene Lin, Yu-Li Liu, Shih-Jen Tsai, 2020, Pharmaceuticals.