BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

128 related articles for article (PubMed ID: 31797622)

  • 1. Network Representation of Large-Scale Heterogeneous RNA Sequences with Integration of Diverse Multi-omics, Interactions, and Annotations Data.
    Tran N; Gao J
    Pac Symp Biocomput; 2020; 25():499-510. PubMed ID: 31797622
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predicting lncRNA-disease associations using network topological similarity based on deep mining heterogeneous networks.
    Zhang H; Liang Y; Peng C; Han S; Du W; Li Y
    Math Biosci; 2019 Sep; 315():108229. PubMed ID: 31323239
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Graph embedding ensemble methods based on the heterogeneous network for lncRNA-miRNA interaction prediction.
    Zhao C; Qiu Y; Zhou S; Liu S; Zhang W; Niu Y
    BMC Genomics; 2020 Dec; 21(Suppl 13):867. PubMed ID: 33334307
    [TBL] [Abstract][Full Text] [Related]  

  • 4. LncMirNet: Predicting LncRNA-miRNA Interaction Based on Deep Learning of Ribonucleic Acid Sequences.
    Yang S; Wang Y; Lin Y; Shao D; He K; Huang L
    Molecules; 2020 Sep; 25(19):. PubMed ID: 32977679
    [TBL] [Abstract][Full Text] [Related]  

  • 5. CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease Associations.
    Xuan P; Sheng N; Zhang T; Liu Y; Guo Y
    Int J Mol Sci; 2019 Aug; 20(17):. PubMed ID: 31480319
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Long Non-Coding RNAs (lncRNAs) of Sea Cucumber: Large-Scale Prediction, Expression Profiling, Non-Coding Network Construction, and lncRNA-microRNA-Gene Interaction Analysis of lncRNAs in Apostichopus japonicus and Holothuria glaberrima During LPS Challenge and Radial Organ Complex Regeneration.
    Mu C; Wang R; Li T; Li Y; Tian M; Jiao W; Huang X; Zhang L; Hu X; Wang S; Bao Z
    Mar Biotechnol (NY); 2016 Aug; 18(4):485-99. PubMed ID: 27392411
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Long Noncoding RNA and Protein Interactions: From Experimental Results to Computational Models Based on Network Methods.
    Zhang H; Liang Y; Han S; Peng C; Li Y
    Int J Mol Sci; 2019 Mar; 20(6):. PubMed ID: 30875752
    [TBL] [Abstract][Full Text] [Related]  

  • 8. LMI-DForest: A deep forest model towards the prediction of lncRNA-miRNA interactions.
    Wang W; Guan X; Khan MT; Xiong Y; Wei DQ
    Comput Biol Chem; 2020 Dec; 89():107406. PubMed ID: 33120126
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Plant miRNA-lncRNA Interaction Prediction with the Ensemble of CNN and IndRNN.
    Zhang P; Meng J; Luan Y; Liu C
    Interdiscip Sci; 2020 Mar; 12(1):82-89. PubMed ID: 31811618
    [TBL] [Abstract][Full Text] [Related]  

  • 10. LDAPred: A Method Based on Information Flow Propagation and a Convolutional Neural Network for the Prediction of Disease-Associated lncRNAs.
    Xuan P; Jia L; Zhang T; Sheng N; Li X; Li J
    Int J Mol Sci; 2019 Sep; 20(18):. PubMed ID: 31510011
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of drug-target interactions from multi-molecular network based on LINE network representation method.
    Ji BY; You ZH; Jiang HJ; Guo ZH; Zheng K
    J Transl Med; 2020 Sep; 18(1):347. PubMed ID: 32894154
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Integrating Multiple Heterogeneous Networks for Novel LncRNA-Disease Association Inference.
    Zhang J; Zhang Z; Chen Z; Deng L
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(2):396-406. PubMed ID: 28489543
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural Networks.
    Xuan P; Sun H; Wang X; Zhang T; Pan S
    Int J Mol Sci; 2019 Jul; 20(15):. PubMed ID: 31349729
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting Long Noncoding RNA and Protein Interactions Using Heterogeneous Network Model.
    Li A; Ge M; Zhang Y; Peng C; Wang M
    Biomed Res Int; 2015; 2015():671950. PubMed ID: 26839884
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Probing the functions of long non-coding RNAs by exploiting the topology of global association and interaction network.
    Deng L; Wu H; Liu C; Zhan W; Zhang J
    Comput Biol Chem; 2018 Jun; 74():360-367. PubMed ID: 29573966
    [TBL] [Abstract][Full Text] [Related]  

  • 16. PLAIDOH: a novel method for functional prediction of long non-coding RNAs identifies cancer-specific LncRNA activities.
    Pyfrom SC; Luo H; Payton JE
    BMC Genomics; 2019 Feb; 20(1):137. PubMed ID: 30767760
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comprehensive analysis of coding-lncRNA gene co-expression network uncovers conserved functional lncRNAs in zebrafish.
    Chen W; Zhang X; Li J; Huang S; Xiang S; Hu X; Liu C
    BMC Genomics; 2018 May; 19(Suppl 2):112. PubMed ID: 29764394
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Construction and analysis of a spinal cord injury competitive endogenous RNA network based on the expression data of long noncoding, micro‑ and messenger RNAs.
    Wang L; Wang B; Liu J; Quan Z
    Mol Med Rep; 2019 Apr; 19(4):3021-3034. PubMed ID: 30816457
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Accurate prediction of protein-lncRNA interactions by diffusion and HeteSim features across heterogeneous network.
    Deng L; Wang J; Xiao Y; Wang Z; Liu H
    BMC Bioinformatics; 2018 Oct; 19(1):370. PubMed ID: 30309340
    [TBL] [Abstract][Full Text] [Related]  

  • 20. RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach.
    Pan X; Shen HB
    BMC Bioinformatics; 2017 Feb; 18(1):136. PubMed ID: 28245811
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.