Analysis of event-related potentials and telomere length in schizophrenic patients

by Younger W-Y. Yu, 余伍洋
Published 2001

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

by Eugene Lin, Po-Hsiu Kuo, Yu-Li Liu, Younger W.-Y. Yu, Albert C. Yang, Shih-Jen Tsai
Published 2020-10-01

Gene-based analysis of genes related to neurotrophic pathway suggests association of BDNF and VEGFA with antidepressant treatment-response in depressed patients

by Chung-Feng Kao, Yu-Li Liu, Younger W.-Y. Yu, Albert C. Yang, Eugene Lin, Po-Hsiu Kuo, Shih-Jen Tsai
Published 2018-05-01

Convergent evidence from mouse and human studies suggests the involvement of zinc finger protein 326 gene in antidepressant treatment response.

by Ying-Jay Liou, Chien-Hsiun Chen, Chih-Ya Cheng, Shiow-Yi Chen, Tai-Jui Chen, Younger W-Y Yu, Fang-Shin Nian, Shih-Jen Tsai, Chen-Jee Hong
Published 2012-01-01

A Deep Learning Approach for Predicting Antidepressant Response in Major Depression Using Clinical and Genetic Biomarkers

by Eugene Lin, Eugene Lin, Po-Hsiu Kuo, Yu-Li Liu, Younger W.-Y. Yu, Albert C. Yang, Albert C. Yang, Albert C. Yang, Albert C. Yang, Shih-Jen Tsai, Shih-Jen Tsai, Shih-Jen Tsai
Published 2018-07-01

Gene-Based Association Analysis Suggests Association of HTR2A With Antidepressant Treatment Response in Depressed Patients

by Chung-Feng Kao, Chung-Feng Kao, Po-Hsiu Kuo, Po-Hsiu Kuo, Younger W.-Y. Yu, Albert C. Yang, Albert C. Yang, Albert C. Yang, Eugene Lin, Eugene Lin, Eugene Lin, Yu-Li Liu, Shih-Jen Tsai, Shih-Jen Tsai
Published 2020-12-01