BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

303 related articles for article (PubMed ID: 26231308)

  • 1. Network-based ranking methods for prediction of novel disease associated microRNAs.
    Le DH
    Comput Biol Chem; 2015 Oct; 58():139-48. PubMed ID: 26231308
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prioritization of candidate disease genes by enlarging the seed set and fusing information of the network topology and gene expression.
    Zhang SW; Shao DD; Zhang SY; Wang YB
    Mol Biosyst; 2014 Jun; 10(6):1400-8. PubMed ID: 24695957
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A novel candidate disease genes prioritization method based on module partition and rank fusion.
    Chen X; Yan GY; Liao XP
    OMICS; 2010 Aug; 14(4):337-56. PubMed ID: 20726795
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Neighbor-favoring weight reinforcement to improve random walk-based disease gene prioritization.
    Le DH; Kwon YK
    Comput Biol Chem; 2013 Jun; 44():1-8. PubMed ID: 23434623
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Topological patterns in microRNA-gene regulatory network: studies in colorectal and breast cancer.
    Sengupta D; Bandyopadhyay S
    Mol Biosyst; 2013 Jun; 9(6):1360-71. PubMed ID: 23475160
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A fast ranking algorithm for predicting gene functions in biomolecular networks.
    Re M; Mesiti M; Valentini G
    IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(6):1812-8. PubMed ID: 23221088
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of potential disease-associated microRNAs based on random walk.
    Xuan P; Han K; Guo Y; Li J; Li X; Zhong Y; Zhang Z; Ding J
    Bioinformatics; 2015 Jun; 31(11):1805-15. PubMed ID: 25618864
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bioinformatics method to predict two regulation mechanism: TF-miRNA-mRNA and lncRNA-miRNA-mRNA in pancreatic cancer.
    Ye S; Yang L; Zhao X; Song W; Wang W; Zheng S
    Cell Biochem Biophys; 2014 Dec; 70(3):1849-58. PubMed ID: 25087086
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prioritizing candidate disease-related long non-coding RNAs by walking on the heterogeneous lncRNA and disease network.
    Zhou M; Wang X; Li J; Hao D; Wang Z; Shi H; Han L; Zhou H; Sun J
    Mol Biosyst; 2015 Mar; 11(3):760-9. PubMed ID: 25502053
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of disease-related microRNAs by incorporating functional similarity and common association information.
    Han K; Xuan P; Ding J; Zhao ZJ; Hui L; Zhong YL
    Genet Mol Res; 2014 Mar; 13(1):2009-19. PubMed ID: 24737426
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Hsa-microRNA-181a is a regulator of a number of cancer genes and a biomarker for endometrial carcinoma in patients: a bioinformatic and clinical study and the therapeutic implication.
    He S; Zeng S; Zhou ZW; He ZX; Zhou SF
    Drug Des Devel Ther; 2015; 9():1103-75. PubMed ID: 25733820
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prioritization of potential candidate disease genes by topological similarity of protein-protein interaction network and phenotype data.
    Luo J; Liang S
    J Biomed Inform; 2015 Feb; 53():229-36. PubMed ID: 25460206
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of microRNA-regulated protein interaction pathways in Arabidopsis using machine learning algorithms.
    Kurubanjerdjit N; Huang CH; Lee YL; Tsai JJ; Ng KL
    Comput Biol Med; 2013 Nov; 43(11):1645-52. PubMed ID: 24209909
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MicroRNA expression profile of surgical removed mandibular bone tissues from patients with mandibular prognathism.
    Tian Y; Liu J; Bai X; Tan X; Cao Y; Qin K; Zhao Z; Zhang Y
    J Surg Res; 2015 Sep; 198(1):127-34. PubMed ID: 26025627
    [TBL] [Abstract][Full Text] [Related]  

  • 15. RWRMDA: predicting novel human microRNA-disease associations.
    Chen X; Liu MX; Yan GY
    Mol Biosyst; 2012 Oct; 8(10):2792-8. PubMed ID: 22875290
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Prediction of regulating network of innate immune signaling molecule hsa-miR-181a in stroke development based on bioinformatics analysis].
    Lyu Y; Qian Y; Fu L
    Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi; 2015 Aug; 31(8):1042-7. PubMed ID: 26271976
    [TBL] [Abstract][Full Text] [Related]  

  • 17. RWRMTN: a tool for predicting disease-associated microRNAs based on a microRNA-target gene network.
    Le DH; Tran TTH
    BMC Bioinformatics; 2020 Jun; 21(1):244. PubMed ID: 32539680
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Participation of microRNAs in human interactome: extraction of microRNA-microRNA regulations.
    Sengupta D; Bandyopadhyay S
    Mol Biosyst; 2011 Jun; 7(6):1966-73. PubMed ID: 21483898
    [TBL] [Abstract][Full Text] [Related]  

  • 19. GPEC: a Cytoscape plug-in for random walk-based gene prioritization and biomedical evidence collection.
    Le DH; Kwon YK
    Comput Biol Chem; 2012 Apr; 37():17-23. PubMed ID: 22430954
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Laplacian normalization and random walk on heterogeneous networks for disease-gene prioritization.
    Zhao ZQ; Han GS; Yu ZG; Li J
    Comput Biol Chem; 2015 Aug; 57():21-8. PubMed ID: 25736609
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.