Plasma biomarker panel for major depressive disorder by quantitative proteomics using ensemble learning algorithm: A preliminary study-Reference-Cited by-同舟云学术

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Plasma biomarker panel for major depressive disorder by quantitative proteomics using ensemble learning algorithm: A preliminary study

Published:2023-05 Issue: Volume:323 Page:115185
ISSN:0165-1781
Container-title:Psychiatry Research
language:en
Short-container-title:Psychiatry Research

Author:

Zhang Linna,Liu Caiping,Li Yan,Wu Ying,Wei Yumei,Zeng Duan,He Shen,Huang Jingjing,Li Huafang

Funder

Shanghai Hospital Development Center

Shanghai Clinical Research Center for Mental Health

Publisher

Elsevier BV

Subject

Biological Psychiatry,Psychiatry and Mental health

Reference31 articles.

1. Genetic mapping in human disease;Altshuler;Science,2008

2. Depression and cardiovascular disease: the viewpoint of platelets;Amadio;Int. J. Mol. Sci.,2020

3. Serum proteomic profiling of major depressive disorder;Bot;Transl. Psychiatry,2015

4. Prevalence of depression during the COVID-19 outbreak: a meta-analysis of community-based studies;Bueno-Notivol;Int. J. Clin. Health Psychol.,2021

5. Urinary biomarker panel for diagnosing patients with depression and anxiety disorders;Chen;Transl. Psychiatry,2018

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1. Omics approaches open new horizons in major depressive disorder: from biomarkers to precision medicine;Frontiers in Psychiatry;2024-06-13

2. Integrating proteomics and explainable artificial intelligence: a comprehensive analysis of protein biomarkers for endometrial cancer diagnosis and prognosis;Frontiers in Molecular Biosciences;2024-06-03

3. Mitochondrial dynamics dysfunction: Unraveling the hidden link to depression;Biomedicine & Pharmacotherapy;2024-06

4. Identification of Plasma Inflammatory Markers of Adolescent Depression Using the Olink Proteomics Platform;Journal of Inflammation Research;2023-10

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