BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

218 related articles for article (PubMed ID: 26058425)

  • 1. A novel method to identify pathways associated with renal cell carcinoma based on a gene co-expression network.
    Ruan X; Li H; Liu B; Chen J; Zhang S; Sun Z; Liu S; Sun F; Liu Q
    Oncol Rep; 2015 Aug; 34(2):567-76. PubMed ID: 26058425
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Co-expression network-based analysis of hippocampal expression data associated with Alzheimer's disease using a novel algorithm.
    Yue H; Yang BO; Yang F; Hu XL; Kong FB
    Exp Ther Med; 2016 May; 11(5):1707-1715. PubMed ID: 27168792
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Gene expression patterns combined with network analysis identify hub genes associated with bladder cancer.
    Bi D; Ning H; Liu S; Que X; Ding K
    Comput Biol Chem; 2015 Jun; 56():71-83. PubMed ID: 25889321
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identified differently expressed genes in renal cell carcinoma by using multiple microarray datasets running head: differently expressed genes in renal cell carcinoma.
    Cheng Y; Hong M; Cheng B
    Eur Rev Med Pharmacol Sci; 2014; 18(7):1033-40. PubMed ID: 24763884
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Transcriptome network analysis reveals candidate genes for renal cell carcinoma.
    Zhai W; Xu YF; Liu M; Zheng JH
    J Cancer Res Ther; 2012; 8(1):28-33. PubMed ID: 22531510
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of hub genes and pathways associated with retinoblastoma based on co-expression network analysis.
    Wang QL; Chen X; Zhang MH; Shen QH; Qin ZM
    Genet Mol Res; 2015 Dec; 14(4):16151-61. PubMed ID: 26662407
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Microarray profiling of human renal cell carcinoma: identification for potential biomarkers and critical pathways.
    Li W; Zhu W; Che J; Sun W; Liu M; Peng B; Zheng J
    Kidney Blood Press Res; 2013; 37(4-5):506-13. PubMed ID: 24247930
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of genes and pathways involved in kidney renal clear cell carcinoma.
    Yang W; Yoshigoe K; Qin X; Liu JS; Yang JY; Niemierko A; Deng Y; Liu Y; Dunker A; Chen Z; Wang L; Xu D; Arabnia HR; Tong W; Yang M
    BMC Bioinformatics; 2014; 15 Suppl 17(Suppl 17):S2. PubMed ID: 25559354
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Construction of a gene-gene interaction network with a combined score across multiple approaches.
    Zhang AM; Song H; Shen YH; Liu Y
    Genet Mol Res; 2015 Jun; 14(2):7018-30. PubMed ID: 26125911
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Network spatio-temporal analysis predicts disease stage-related genes and pathways in renal cell carcinoma.
    Li1 XH; Yang CZ; Wang J
    Genet Mol Res; 2016 May; 15(2):. PubMed ID: 27173324
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MicroRNA Expression Profiling in Clear Cell Renal Cell Carcinoma: Identification and Functional Validation of Key miRNAs.
    He H; Wang L; Zhou W; Zhang Z; Wang L; Xu S; Wang D; Dong J; Tang C; Tang H; Yi X; Ge J
    PLoS One; 2015; 10(5):e0125672. PubMed ID: 25938468
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Screening of feature genes of the renal cell carcinoma with DNA microarray.
    Feng JY; Diao XW; Fan MQ; Wang PX; Xiao Y; Zhong X; Wu RH; Huang CB
    Eur Rev Med Pharmacol Sci; 2013 Nov; 17(22):2994-3001. PubMed ID: 24302177
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of key genes and pathways in renal cell carcinoma through expression profiling data.
    Liu X; Wang J; Sun G
    Kidney Blood Press Res; 2015; 40(3):288-97. PubMed ID: 26043775
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Gene expression analysis in clear cell renal cell carcinoma using gene set enrichment analysis for biostatistical management.
    Maruschke M; Reuter D; Koczan D; Hakenberg OW; Thiesen HJ
    BJU Int; 2011 Jul; 108(2 Pt 2):E29-35. PubMed ID: 21435154
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Microarray gene expression profiling and analysis in renal cell carcinoma.
    Liou LS; Shi T; Duan ZH; Sadhukhan P; Der SD; Novick AA; Hissong J; Skacel M; Almasan A; DiDonato JA
    BMC Urol; 2004 Jun; 4():9. PubMed ID: 15212686
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Screening and identification of key biomarkers of papillary renal cell carcinoma by bioinformatic analysis.
    Xu Y; Kong D; Li Z; Qian L; Li J; Zou C
    PLoS One; 2021; 16(8):e0254868. PubMed ID: 34358255
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Weighted gene co-expression network analysis identifies specific modules and hub genes related to coronary artery disease.
    Liu J; Jing L; Tu X
    BMC Cardiovasc Disord; 2016 Mar; 16():54. PubMed ID: 26944061
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Expression analysis of the estrogen receptor target genes in renal cell carcinoma.
    Liu Z; Lu Y; He Z; Chen L; Lu Y
    Mol Med Rep; 2015 Jan; 11(1):75-82. PubMed ID: 25351113
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Gene signatures of progression and metastasis in renal cell cancer.
    Jones J; Otu H; Spentzos D; Kolia S; Inan M; Beecken WD; Fellbaum C; Gu X; Joseph M; Pantuck AJ; Jonas D; Libermann TA
    Clin Cancer Res; 2005 Aug; 11(16):5730-9. PubMed ID: 16115910
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of Hub Genes of Lung Adenocarcinoma Based on Weighted Gene Co-Expression Network in Chinese Population.
    Xie Y; Wu H; Hu W; Zhang H; Li A; Zhang Z; Ren S; Zhang X
    Pathol Oncol Res; 2022; 28():1610455. PubMed ID: 36032660
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 11.