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臺灣學術機構典藏系統 (Taiwan Academic Institutional Repository, TAIR)
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Institution Date Title Author
臺大學術典藏 2021-05-20T03:40:40Z Gene-Based Association Analysis Suggests Association of HTR2A With Antidepressant Treatment Response in Depressed Patients Kao C.-F.;Po-Hsiu Kuo;Yu Y.W.Y.;Yang A.C.;Lin E.;Liu Y.-L.;Tsai S.-J.; Kao C.-F.; PO-HSIU KUO; Yu Y.W.Y.; Yang A.C.; Lin E.; Liu Y.-L.; Tsai S.-J.
臺大學術典藏 2021-05-20T03:40:40Z Gene-Based Association Analysis Suggests Association of HTR2A With Antidepressant Treatment Response in Depressed Patients Kao C.-F.;Po-Hsiu Kuo;Yu Y.W.Y.;Yang A.C.;Lin E.;Liu Y.-L.;Tsai S.-J.; Kao C.-F.; PO-HSIU KUO; Yu Y.W.Y.; Yang A.C.; Lin E.; Liu Y.-L.; Tsai S.-J.
臺大學術典藏 2020-11-18T05:27:42Z A deep learning approach for predicting antidepressant response in major depression using clinical and genetic biomarkers Lin E.;Po-Hsiu Kuo;Liu Y.-L.;Yu Y.W.-Y.;Yang A.C.;Tsai S.-J.; Lin E.; PO-HSIU KUO; Liu Y.-L.; Yu Y.W.-Y.; Yang A.C.; Tsai S.-J.
臺大學術典藏 2020-11-18T05:27:42Z A deep learning approach for predicting antidepressant response in major depression using clinical and genetic biomarkers Lin E.;Po-Hsiu Kuo;Liu Y.-L.;Yu Y.W.-Y.;Yang A.C.;Tsai S.-J.; Lin E.; PO-HSIU KUO; Liu Y.-L.; Yu Y.W.-Y.; Yang A.C.; Tsai S.-J.
臺大學術典藏 2020-11-18T05:27:41Z Gene-based analysis of genes related to neurotrophic pathway suggests association of BDNF and VEGFA with antidepressant treatment-response in depressed patients Kao C.-F.;Liu Y.-L.;Yu Y.W.-Y.;Yang A.C.;Lin E.;Po-Hsiu Kuo;Tsai S.-J.; Tsai S.-J.; PO-HSIU KUO; Lin E.; Yang A.C.; Yu Y.W.-Y.; Kao C.-F.; Liu Y.-L.
臺大學術典藏 2020-11-18T05:27:41Z Gene-based analysis of genes related to neurotrophic pathway suggests association of BDNF and VEGFA with antidepressant treatment-response in depressed patients Kao C.-F.;Liu Y.-L.;Yu Y.W.-Y.;Yang A.C.;Lin E.;Po-Hsiu Kuo;Tsai S.-J.; Tsai S.-J.; PO-HSIU KUO; Lin E.; Yang A.C.; Yu Y.W.-Y.; Kao C.-F.; Liu Y.-L.
臺大學術典藏 2020-11-18T05:27:33Z Prediction of antidepressant treatment response and remission using an ensemble machine learning framework Lin E.; PO-HSIU KUO; Liu Y.-L.; Yu Y.W.-Y.; Yang A.C.; Tsai S.-J.

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