BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

243 related articles for article (PubMed ID: 37123369)

  • 1. Functional investigation and two-sample Mendelian randomization study of neuropathic pain hub genes obtained by WGCNA analysis.
    Zeng J; Lai C; Luo J; Li L
    Front Neurosci; 2023; 17():1134330. PubMed ID: 37123369
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of hub genes and diagnostic efficacy for triple-negative breast cancer through WGCNA and Mendelian randomization.
    Lin Y; Wang S; Yang Q
    Discov Oncol; 2024 Apr; 15(1):117. PubMed ID: 38609711
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of susceptibility modules and hub genes of osteoarthritis by WGCNA analysis.
    Wang Y; Zhou W; Chen Y; He D; Qin Z; Wang Z; Liu S; Zhou L; Su J; Zhang C
    Front Genet; 2022; 13():1036156. PubMed ID: 36468029
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Screening and identification of potential hub genes and immune cell infiltration in the synovial tissue of rheumatoid arthritis by bioinformatic approach.
    Feng ZW; Tang YC; Sheng XY; Wang SH; Wang YB; Liu ZC; Liu JM; Geng B; Xia YY
    Heliyon; 2023 Jan; 9(1):e12799. PubMed ID: 36699262
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Functional Investigation and Two-sample Mendelian Randomization Study of Inguinal Hernia Hub Genes Obtained by Bioinformatics Analysis.
    Lu K; Guo ZC; Zhang JJ; Yu X; Zhang ZY
    Curr Comput Aided Drug Des; 2024 Apr; ():. PubMed ID: 38591204
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Co-expression modules construction by WGCNA and identify potential hub genes and regulation pathways of postpartum depression.
    Deng Z; Cai W; Liu J; Deng A; Yang Y; Tu J; Yuan C; Xiao H; Gao W
    Front Biosci (Landmark Ed); 2021 Nov; 26(11):1019-1030. PubMed ID: 34856750
    [No Abstract]   [Full Text] [Related]  

  • 7. Novel diagnostic biomarkers related to immune infiltration in Parkinson's disease by bioinformatics analysis.
    Zhang P; Zhao L; Li H; Shen J; Li H; Xing Y
    Front Neurosci; 2023; 17():1083928. PubMed ID: 36777638
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Weighted gene co-expression network analysis reveals specific modules and hub genes related to neuropathic pain in dorsal root ganglions.
    Cheng N; Zhang Z; Guo Y; Qiu ZL; Du JY; Hei ZQ; Li X
    Biosci Rep; 2019 Nov; 39(11):. PubMed ID: 31696225
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Using weighted gene co-expression network analysis (WGCNA) to identify the hub genes related to hypoxic adaptation in yak (Bos grunniens).
    Bao Q; Zhang X; Bao P; Liang C; Guo X; Chu M; Yan P
    Genes Genomics; 2021 Oct; 43(10):1231-1246. PubMed ID: 34338989
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Weighted gene co-expression network analysis revealed key biomarkers associated with the diagnosis of hypertrophic cardiomyopathy.
    Li X; Wang C; Zhang X; Liu J; Wang Y; Li C; Guo D
    Hereditas; 2020 Oct; 157(1):42. PubMed ID: 33099311
    [TBL] [Abstract][Full Text] [Related]  

  • 11. HEMGN and SLC2A1 might be potential diagnostic biomarkers of steroid-induced osteonecrosis of femoral head: study based on WGCNA and DEGs screening.
    Wu Z; Wen Y; Fan G; He H; Zhou S; Chen L
    BMC Musculoskelet Disord; 2021 Jan; 22(1):85. PubMed ID: 33451334
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Dysregulation and imbalance of innate and adaptive immunity are involved in the cardiomyopathy progression.
    He B; Quan LP; Cai CY; Yu DY; Yan W; Wei QJ; Zhang Z; Huang XN; Liu L
    Front Cardiovasc Med; 2022; 9():973279. PubMed ID: 36148059
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Application of Weighted Gene Coexpression Network Analysis to Identify Key Modules and Hub Genes in Systemic Juvenile Idiopathic Arthritis.
    Zhou M; Guo R; Wang YF; Yang W; Li R; Lu L
    Biomed Res Int; 2021; 2021():9957569. PubMed ID: 34435051
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Weighted gene co-expression identification of CDKN1A as a hub inflammation gene following cardiopulmonary bypass in children with congenital heart disease.
    Chen H; Liu J; Wu Y; Jiang L; Tang M; Wang X; Fang X; Wang X
    Front Surg; 2022; 9():963850. PubMed ID: 36090322
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Weighted gene co-expression network analysis identifies RHOH and TRAF1 as key candidate genes for psoriatic arthritis.
    He J; Tang J; Feng Q; Li T; Wu K; Yang K; Jia D; Xia Q
    Clin Rheumatol; 2021 Apr; 40(4):1381-1391. PubMed ID: 32959187
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of vital modules and genes associated with heart failure based on weighted gene coexpression network analysis.
    Bian W; Wang Z; Li X; Jiang XX; Zhang H; Liu Z; Zhang DM
    ESC Heart Fail; 2022 Apr; 9(2):1370-1379. PubMed ID: 35128826
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification and Verification of Five Potential Biomarkers Related to Skin and Thermal Injury Using Weighted Gene Co-Expression Network Analysis.
    Yang R; Wang Z; Li J; Pi X; Wang X; Xu Y; Shi Y; Zhou S
    Front Genet; 2021; 12():781589. PubMed ID: 35047008
    [No Abstract]   [Full Text] [Related]  

  • 18. Identification of the pivotal role of SPP1 in kidney stone disease based on multiple bioinformatics analysis.
    Hong SY; Xia QD; Xu JZ; Liu CQ; Sun JX; Xun Y; Wang SG
    BMC Med Genomics; 2022 Jan; 15(1):7. PubMed ID: 35016690
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Revealing immune infiltrate characteristics and potential immune-related genes in hepatic fibrosis: based on bioinformatics, transcriptomics and q-PCR experiments.
    Bai YM; Liang S; Zhou B
    Front Immunol; 2023; 14():1133543. PubMed ID: 37122694
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of Effective Diagnostic Biomarkers and Immune Cell Infiltration in Atopic Dermatitis by Comprehensive Bioinformatics Analysis.
    Li C; Lu Y; Han X
    Front Mol Biosci; 2022; 9():917077. PubMed ID: 35911963
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 13.