BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

186 related articles for article (PubMed ID: 28576328)

  • 1. A novel method of predicting microRNA-disease associations based on microRNA, disease, gene and environment factor networks.
    Peng W; Lan W; Zhong J; Wang J; Pan Y
    Methods; 2017 Jul; 124():69-77. PubMed ID: 28576328
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Framework for Integrating Multiple Biological Networks to Predict MicroRNA-Disease Associations.
    Peng W; Lan W; Yu Z; Wang J; Pan Y
    IEEE Trans Nanobioscience; 2017 Mar; 16(2):100-107. PubMed ID: 27913356
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. DeepMiR2GO: Inferring Functions of Human MicroRNAs Using a Deep Multi-Label Classification Model.
    Wang J; Zhang J; Cai Y; Deng L
    Int J Mol Sci; 2019 Nov; 20(23):. PubMed ID: 31801264
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Random walks on mutual microRNA-target gene interaction network improve the prediction of disease-associated microRNAs.
    Le DH; Verbeke L; Son LH; Chu DT; Pham VH
    BMC Bioinformatics; 2017 Nov; 18(1):479. PubMed ID: 29137601
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of cardiovascular microRNA targetomes.
    Fiedler J; Gupta SK; Thum T
    J Mol Cell Cardiol; 2011 Nov; 51(5):674-81. PubMed ID: 21888912
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Genome-scale MicroRNA target prediction through clustering with Dirichlet process mixture model.
    Hakguder Z; Shu J; Liao C; Pan K; Cui J
    BMC Genomics; 2018 Sep; 19(Suppl 7):658. PubMed ID: 30255782
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Data fusion-based algorithm for predicting miRNA-Disease associations.
    Wang C; Sun K; Wang J; Guo M
    Comput Biol Chem; 2020 Oct; 88():107357. PubMed ID: 32835915
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Similarity-based methods for potential human microRNA-disease association prediction.
    Chen H; Zhang Z
    BMC Med Genomics; 2013 Apr; 6():12. PubMed ID: 23570623
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MicroRNAs, Regulatory Networks, and Comorbidities: Decoding Complex Systems.
    Russo F; Belling K; Jensen AB; Scoyni F; Brunak S; Pellegrini M
    Methods Mol Biol; 2017; 1580():281-295. PubMed ID: 28439840
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predicting miRNA-based disease-disease relationships through network diffusion on multi-omics biological data.
    Sumathipala M; Weiss ST
    Sci Rep; 2020 May; 10(1):8705. PubMed ID: 32457435
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Novel Approach Based on a Weighted Interactive Network to Predict Associations of MiRNAs and Diseases.
    Zhao H; Kuang L; Feng X; Zou Q; Wang L
    Int J Mol Sci; 2018 Dec; 20(1):. PubMed ID: 30597923
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Prediction of microRNA-disease associations based on distance correlation set.
    Zhao H; Kuang L; Wang L; Ping P; Xuan Z; Pei T; Wu Z
    BMC Bioinformatics; 2018 Apr; 19(1):141. PubMed ID: 29665774
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Dual Convolutional Neural Network Based Method for Predicting Disease-Related miRNAs.
    Xuan P; Dong Y; Guo Y; Zhang T; Liu Y
    Int J Mol Sci; 2018 Nov; 19(12):. PubMed ID: 30477152
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Inferring microRNA-Environmental Factor Interactions Based on Multiple Biological Information Fusion.
    Luo H; Lan W; Chen Q; Wang Z; Liu Z; Yue X; Zhu L
    Molecules; 2018 Sep; 23(10):. PubMed ID: 30249984
    [TBL] [Abstract][Full Text] [Related]  

  • 17. HNMDA: heterogeneous network-based miRNA-disease association prediction.
    Peng LH; Sun CN; Guan NN; Li JQ; Chen X
    Mol Genet Genomics; 2018 Aug; 293(4):983-995. PubMed ID: 29687157
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Supervised method for construction of microRNA-mRNA networks: application in cardiac tissue aging dataset.
    Dimitrakopoulos GN; Dimitrakopoulou K; Maraziotis IA; Sgarbas K; Bezerianos A
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():318-21. PubMed ID: 25569961
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identifying Cancer genes by combining two-rounds RWR based on multiple biological data.
    Zhang W; Lei Ieee Member X; Bian C
    BMC Bioinformatics; 2019 Nov; 20(Suppl 18):518. PubMed ID: 31760937
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identifying human microRNA-disease associations by a new diffusion-based method.
    Liao B; Ding S; Chen H; Li Z; Cai L
    J Bioinform Comput Biol; 2015 Aug; 13(4):1550014. PubMed ID: 26004789
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.