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Taiwan Academic Institutional Repository >
Browse by Author
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"yu ywy"
Showing items 1-9 of 9 (1 Page(s) Totally) 1 View [10|25|50] records per page
| 國家衛生研究院 |
2020-12 |
Gene-based association analysis suggests association of HTR2A with antidepressant treatment response in depressed patients
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Kao, CF;Kuo, PH;Yu, YWY;Yang, AC;Lin, E;Liu, YL;Tsai, SJ |
| 國家衛生研究院 |
2020-10-13 |
Prediction of antidepressant treatment response and remission using an ensemble machine learning framework
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Lin, E;Kuo, PH;Liu, YL;Yu, YWY;Yang, AC;Tsai, SJ |
| 國家衛生研究院 |
2018-07 |
A deep learning approach for predicting antidepressant response in major depression using clinical and genetic biomarkers
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Lin, E;Kuo, PH;Liu, YL;Yu, YWY;Yang, AC;Tsai, SJ |
| 國家衛生研究院 |
2018-05 |
Gene-based analysis of genes related to neurotrophic pathway suggests association of BDNF and VEGFA with antidepressant treatment-response in depressed patients
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Kao, CF;Liu, YL;Yu, YWY;Yang, AC;Lin, E;Kuo, PH;Tsai, SJ |
| 國家衛生研究院 |
2008-07-05 |
Evidence for association between genetic variants of p75 neurotrophin receptor (p75(NTR)) gene and antidepressant treatment response in Chinese major depressive disorder
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Gau, YTA; Liou, YJ; Yu, YWY; Chen, TJ; Lin, MW; Tsai, SJ; Hong, CJ |
| 國家衛生研究院 |
2008 |
Glycogen synthase kinase-3Beta gene is associated with antidepressant treatment response in Chinese major depressive disorder
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Tsai, SJ;Liou, YJ;Hong, CJ;Yu, YWY;Chen, TJ |
| 義守大學 |
2005-08 |
Association study of a functional MAOA-uVNTR gene polymorphism and cognitive function in healthy females
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Yu YWY; Tsai SJ; Hong CJ;Chen MC;Yang CW;Chene TJ |
| 義守大學 |
2004-11 |
Association analysis for MAOA gene polymorphism with long-latency auditory evoked potentials in healthy females
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Yu YWY; Tsai SJ; Hong CJ;Chen TJ;Yang CW |
| 義守大學 |
2004 |
Association study of serotonin 1B receptor (A-161T) genetic polymorphism and suicidal behaviors and response to fluoxetine in major depressive disorder
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Tsai SJ; Hong CJ; Yu YWY; Chen TJ; Wang YC; Lin WK |
Showing items 1-9 of 9 (1 Page(s) Totally) 1 View [10|25|50] records per page
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