G. ERZİN Et Al. , "Dynamic thiol/disulphide homeostasis as a novel oxidative stress marker todifferentiate bipolar and unipolar depression: a machine learning case study," 11th International Congress on Psychopharmacology 7th International Symposium on Child and Adolescent Psychopharmacology , 2019
ERZİN, G. Et Al. 2019. Dynamic thiol/disulphide homeostasis as a novel oxidative stress marker todifferentiate bipolar and unipolar depression: a machine learning case study. 11th International Congress on Psychopharmacology 7th International Symposium on Child and Adolescent Psychopharmacology .
ERZİN, G., ÖZKAYA, G., TOPÇUOĞLU, C., YÜKSEL, R. N., EREL, Ö., & GÖKA, E., (2019). Dynamic thiol/disulphide homeostasis as a novel oxidative stress marker todifferentiate bipolar and unipolar depression: a machine learning case study . 11th International Congress on Psychopharmacology 7th International Symposium on Child and Adolescent Psychopharmacology
ERZİN, GAMZE Et Al. "Dynamic thiol/disulphide homeostasis as a novel oxidative stress marker todifferentiate bipolar and unipolar depression: a machine learning case study," 11th International Congress on Psychopharmacology 7th International Symposium on Child and Adolescent Psychopharmacology, 2019
ERZİN, GAMZE Et Al. "Dynamic thiol/disulphide homeostasis as a novel oxidative stress marker todifferentiate bipolar and unipolar depression: a machine learning case study." 11th International Congress on Psychopharmacology 7th International Symposium on Child and Adolescent Psychopharmacology , 2019
ERZİN, G. Et Al. (2019) . "Dynamic thiol/disulphide homeostasis as a novel oxidative stress marker todifferentiate bipolar and unipolar depression: a machine learning case study." 11th International Congress on Psychopharmacology 7th International Symposium on Child and Adolescent Psychopharmacology .
@conferencepaper{conferencepaper, author={GAMZE ERZİN Et Al. }, title={Dynamic thiol/disulphide homeostasis as a novel oxidative stress marker todifferentiate bipolar and unipolar depression: a machine learning case study}, congress name={11th International Congress on Psychopharmacology 7th International Symposium on Child and Adolescent Psychopharmacology}, city={}, country={}, year={2019}}