These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

185 related articles for article (PubMed ID: 31057602)

  • 21. IRWNRLPI: Integrating Random Walk and Neighborhood Regularized Logistic Matrix Factorization for lncRNA-Protein Interaction Prediction.
    Zhao Q; Zhang Y; Hu H; Ren G; Zhang W; Liu H
    Front Genet; 2018; 9():239. PubMed ID: 30023002
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A path-based computational model for long non-coding RNA-protein interaction prediction.
    Zhang H; Ming Z; Fan C; Zhao Q; Liu H
    Genomics; 2020 Mar; 112(2):1754-1760. PubMed ID: 31639442
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Prediction of LncRNA-Protein Interactions Based on Kernel Combinations and Graph Convolutional Networks.
    Shen C; Mao D; Tang J; Liao Z; Chen S
    IEEE J Biomed Health Inform; 2024 Apr; 28(4):1937-1948. PubMed ID: 37327093
    [TBL] [Abstract][Full Text] [Related]  

  • 24. SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions.
    Zhang W; Yue X; Tang G; Wu W; Huang F; Zhang X
    PLoS Comput Biol; 2018 Dec; 14(12):e1006616. PubMed ID: 30533006
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Inferring Latent Disease-lncRNA Associations by Faster Matrix Completion on a Heterogeneous Network.
    Li W; Wang S; Xu J; Mao G; Tian G; Yang J
    Front Genet; 2019; 10():769. PubMed ID: 31572428
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Capsule-LPI: a LncRNA-protein interaction predicting tool based on a capsule network.
    Li Y; Sun H; Feng S; Zhang Q; Han S; Du W
    BMC Bioinformatics; 2021 May; 22(1):246. PubMed ID: 33985444
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Learning distributed representations of RNA and protein sequences and its application for predicting lncRNA-protein interactions.
    Yi HC; You ZH; Cheng L; Zhou X; Jiang TH; Li X; Wang YB
    Comput Struct Biotechnol J; 2020; 18():20-26. PubMed ID: 31890140
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. RLF-LPI: An ensemble learning framework using sequence information for predicting lncRNA-protein interaction based on AE-ResLSTM and fuzzy decision.
    Song J; Tian S; Yu L; Yang Q; Dai Q; Wang Y; Wu W; Duan X
    Math Biosci Eng; 2022 Mar; 19(5):4749-4764. PubMed ID: 35430839
    [TBL] [Abstract][Full Text] [Related]  

  • 30. LPI-CSFFR: Combining serial fusion with feature reuse for predicting LncRNA-protein interactions.
    Huang X; Shi Y; Yan J; Qu W; Li X; Tan J
    Comput Biol Chem; 2022 Aug; 99():107718. PubMed ID: 35785626
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Predicting lncRNA-protein interactions with bipartite graph embedding and deep graph neural networks.
    Ma Y; Zhang H; Jin C; Kang C
    Front Genet; 2023; 14():1136672. PubMed ID: 36845380
    [No Abstract]   [Full Text] [Related]  

  • 32. A Novel Network-Based Computational Model for Prediction of Potential LncRNA⁻Disease Association.
    Liu Y; Feng X; Zhao H; Xuan Z; Wang L
    Int J Mol Sci; 2019 Mar; 20(7):. PubMed ID: 30925672
    [TBL] [Abstract][Full Text] [Related]  

  • 33. HOPMCLDA: predicting lncRNA-disease associations based on high-order proximity and matrix completion.
    Xie G; Zhu Y; Lin Z; Sun Y; Gu G; Wang W; Chen H
    Mol Omics; 2021 Oct; 17(5):760-768. PubMed ID: 34251001
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Projection-Based Neighborhood Non-Negative Matrix Factorization for lncRNA-Protein Interaction Prediction.
    Ma Y; He T; Jiang X
    Front Genet; 2019; 10():1148. PubMed ID: 31824563
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A Probabilistic Matrix Factorization Method for Identifying lncRNA-disease Associations.
    Xuan Z; Li J; Yu J; Feng X; Zhao B; Wang L
    Genes (Basel); 2019 Feb; 10(2):. PubMed ID: 30744078
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Constructing prediction models from expression profiles for large scale lncRNA-miRNA interaction profiling.
    Huang YA; Chan KCC; You ZH
    Bioinformatics; 2018 Mar; 34(5):812-819. PubMed ID: 29069317
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Predicting lncRNA-Protein Interactions With miRNAs as Mediators in a Heterogeneous Network Model.
    Zhou YK; Shen ZA; Yu H; Luo T; Gao Y; Du PF
    Front Genet; 2019; 10():1341. PubMed ID: 32038709
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A novel collaborative filtering model for LncRNA-disease association prediction based on the Naïve Bayesian classifier.
    Yu J; Xuan Z; Feng X; Zou Q; Wang L
    BMC Bioinformatics; 2019 Jul; 20(1):396. PubMed ID: 31315558
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. A novel lncRNA-protein interaction prediction method based on deep forest with cascade forest structure.
    Tian X; Shen L; Wang Z; Zhou L; Peng L
    Sci Rep; 2021 Sep; 11(1):18881. PubMed ID: 34556758
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.