BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

115 related articles for article (PubMed ID: 38874508)

  • 1. Mining key circadian biomarkers for major depressive disorder by integrating bioinformatics and machine learning.
    Shi Y; Zhu J; Hou C; Li X; Tong Q
    Aging (Albany NY); 2024 Jun; 16():. PubMed ID: 38874508
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of circadian rhythm-related gene classification patterns and immune infiltration analysis in heart failure based on machine learning.
    Wang X; Rao J; Zhang L; Liu X; Zhang Y
    Heliyon; 2024 Mar; 10(6):e27049. PubMed ID: 38509983
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An association study of clock genes with major depressive disorder.
    Li Y; Miao P; Li F; Huang J; Fan L; Chen Q; Zhang Y; Yan F; Gao Y
    J Affect Disord; 2023 Nov; 341():147-153. PubMed ID: 37633529
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Diurnal alterations in circadian genes and peptides in major depressive disorder before and after escitalopram treatment.
    Li SX; Liu LJ; Xu LZ; Gao L; Wang XF; Zhang JT; Lu L
    Psychoneuroendocrinology; 2013 Nov; 38(11):2789-99. PubMed ID: 24001941
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of shared potential diagnostic markers in asthma and depression through bioinformatics analysis and machine learning.
    Jiang H; Fu CY
    Int Immunopharmacol; 2024 May; 133():112064. PubMed ID: 38608447
    [TBL] [Abstract][Full Text] [Related]  

  • 6. New insights from integrated bioinformatics analysis: the role of circadian rhythm disruption and immune infiltration in obstructive sleep apnea disease.
    Zhang X; Wang Y; Pan Z; Hu K
    Front Immunol; 2023; 14():1273114. PubMed ID: 38169659
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of 7 mitochondria-related genes as diagnostic biomarkers of MDD and their correlation with immune infiltration: New insights from bioinformatics analysis.
    Liu X; Wu Y; Li M
    J Affect Disord; 2024 Mar; 349():86-100. PubMed ID: 38199392
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Integrative bioinformatics and artificial intelligence analyses of transcriptomics data identified genes associated with major depressive disorders including
    Bouzid A; Almidani A; Zubrikhina M; Kamzanova A; Ilce BY; Zholdassova M; Yusuf AM; Bhamidimarri PM; AlHaj HA; Kustubayeva A; Bernstein A; Burnaev E; Sharaev M; Hamoudi R
    Neurobiol Stress; 2023 Sep; 26():100555. PubMed ID: 37583471
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Predictive Model of Risk Factors for Conversion From Major Depressive Disorder to Bipolar Disorder Based on Clinical Characteristics and Circadian Rhythm Gene Polymorphisms.
    Xu Z; Chen L; Hu Y; Shen T; Chen Z; Tan T; Gao C; Chen S; Chen W; Chen B; Yuan Y; Zhang Z
    Front Psychiatry; 2022; 13():843400. PubMed ID: 35898634
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An integrated machine learning framework for developing and validating a diagnostic model of major depressive disorder based on interstitial cystitis-related genes.
    Chen B; Sun X; Huang H; Feng C; Chen W; Wu D
    J Affect Disord; 2024 Aug; 359():22-32. PubMed ID: 38754597
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Potential diagnostic markers and therapeutic targets for rheumatoid arthritis with comorbid depression based on bioinformatics analysis.
    Zhou TT; Sun JJ; Tang LD; Yuan Y; Wang JY; Zhang L
    Front Immunol; 2023; 14():1007624. PubMed ID: 36911710
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of key circadian rhythm genes in skin aging based on bioinformatics and machine learning.
    Xiao X; Feng H; Liao Y; Tang H; Li L; Li K; Hu F
    Aging (Albany NY); 2023 Oct; 15(20):11672-11689. PubMed ID: 37905958
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of TIMELESS and RORA as key clock molecules of non-small cell lung cancer and the comprehensive analysis.
    Xian H; Li Y; Zou B; Chen Y; Yin H; Li X; Pan Y
    BMC Cancer; 2022 Jan; 22(1):107. PubMed ID: 35078435
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A diagnostic model based on bioinformatics and machine learning to differentiate bipolar disorder from schizophrenia and major depressive disorder.
    Shen J; Xiao C; Qiao X; Zhu Q; Yan H; Pan J; Feng Y
    Schizophrenia (Heidelb); 2024 Feb; 10(1):16. PubMed ID: 38355593
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of mitophagy-related biomarkers and immune infiltration in major depressive disorder.
    Zhang J; Xie S; Xiao R; Yang D; Zhan Z; Li Y
    BMC Genomics; 2023 Apr; 24(1):216. PubMed ID: 37098514
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of key genes and crucial pathways for major depressive disorder using peripheral blood samples and chronic unpredictable mild stress rat models.
    He J; Ren Z; Xia W; Zhou C; Bi B; Yu W; Zuo L
    PeerJ; 2021; 9():e11694. PubMed ID: 34414022
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comprehensive bioinformatics analysis of co-expressed genes of post-traumatic stress disorder and major depressive disorder.
    Zhang H; Luo P; Jiang X
    J Affect Disord; 2024 Mar; 349():541-551. PubMed ID: 38218255
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study.
    Cho CH; Lee T; Kim MG; In HP; Kim L; Lee HJ
    J Med Internet Res; 2019 Apr; 21(4):e11029. PubMed ID: 30994461
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A machine learning model for predicting patients with major depressive disorder: A study based on transcriptomic data.
    Liu S; Lu T; Zhao Q; Fu B; Wang H; Li G; Yang F; Huang J; Lyu N
    Front Neurosci; 2022; 16():949609. PubMed ID: 36003956
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Genes associated with cellular senescence as diagnostic markers of major depressive disorder and their correlations with immune infiltration.
    Chen J; Xie X; Lin M; Han H; Wang T; Lei Q; He R
    Front Psychiatry; 2024; 15():1372386. PubMed ID: 38881549
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.