BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

286 related articles for article (PubMed ID: 33334320)

  • 1. Predicting Long non-coding RNAs through feature ensemble learning.
    Xu Y; Zhao X; Liu S; Zhang W
    BMC Genomics; 2020 Dec; 21(Suppl 13):865. PubMed ID: 33334320
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. PredLnc-GFStack: A Global Sequence Feature Based on a Stacked Ensemble Learning Method for Predicting lncRNAs from Transcripts.
    Liu S; Zhao X; Zhang G; Li W; Liu F; Liu S; Zhang W
    Genes (Basel); 2019 Sep; 10(9):. PubMed ID: 31484412
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MAGCNSE: predicting lncRNA-disease associations using multi-view attention graph convolutional network and stacking ensemble model.
    Liang Y; Zhang ZQ; Liu NN; Wu YN; Gu CL; Wang YL
    BMC Bioinformatics; 2022 May; 23(1):189. PubMed ID: 35590258
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Ensemble Deep Learning Based on Multi-level Information Enhancement and Greedy Fuzzy Decision for Plant miRNA-lncRNA Interaction Prediction.
    Kang Q; Meng J; Shi W; Luan Y
    Interdiscip Sci; 2021 Dec; 13(4):603-614. PubMed ID: 33900552
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. A systematic review of computational methods for predicting long noncoding RNAs.
    Xu X; Liu S; Yang Z; Zhao X; Deng Y; Zhang G; Pang J; Zhao C; Zhang W
    Brief Funct Genomics; 2021 Jun; 20(3):162-173. PubMed ID: 33754153
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of plant lncRNA by ensemble machine learning classifiers.
    Simopoulos CMA; Weretilnyk EA; Golding GB
    BMC Genomics; 2018 May; 19(1):316. PubMed ID: 29720103
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification.
    Zhou L; Duan Q; Tian X; Xu H; Tang J; Peng L
    BMC Bioinformatics; 2021 Nov; 22(1):568. PubMed ID: 34836494
    [TBL] [Abstract][Full Text] [Related]  

  • 11. CRlncRC: a machine learning-based method for cancer-related long noncoding RNA identification using integrated features.
    Zhang X; Wang J; Li J; Chen W; Liu C
    BMC Med Genomics; 2018 Dec; 11(Suppl 6):120. PubMed ID: 30598114
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. lncRNA_Mdeep: An Alignment-Free Predictor for Distinguishing Long Non-Coding RNAs from Protein-Coding Transcripts by Multimodal Deep Learning.
    Fan XN; Zhang SW; Zhang SY; Ni JJ
    Int J Mol Sci; 2020 Jul; 21(15):. PubMed ID: 32718000
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Sequence-based bacterial small RNAs prediction using ensemble learning strategies.
    Tang G; Shi J; Wu W; Yue X; Zhang W
    BMC Bioinformatics; 2018 Dec; 19(Suppl 20):503. PubMed ID: 30577759
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Recent Advances in Predicting Protein-lncRNA Interactions Using Machine Learning Methods.
    Yu H; Shen ZA; Zhou YK; Du PF
    Curr Gene Ther; 2022; 22(3):228-244. PubMed ID: 34254917
    [TBL] [Abstract][Full Text] [Related]  

  • 16. PlncRNA-HDeep: plant long noncoding RNA prediction using hybrid deep learning based on two encoding styles.
    Meng J; Kang Q; Chang Z; Luan Y
    BMC Bioinformatics; 2021 May; 22(Suppl 3):242. PubMed ID: 33980138
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. EnANNDeep: An Ensemble-based lncRNA-protein Interaction Prediction Framework with Adaptive k-Nearest Neighbor Classifier and Deep Models.
    Peng L; Tan J; Tian X; Zhou L
    Interdiscip Sci; 2022 Mar; 14(1):209-232. PubMed ID: 35006529
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine Learning-Based Annotation of Long Noncoding RNAs Using PLncPRO.
    Khemka NK; Singh U; Dwivedi AK; Jain M
    Methods Mol Biol; 2020; 2107():253-260. PubMed ID: 31893451
    [TBL] [Abstract][Full Text] [Related]  

  • 20. MCA-Net: Multi-Feature Coding and Attention Convolutional Neural Network for Predicting lncRNA-Disease Association.
    Zhang Y; Ye F; Gao X
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(5):2907-2919. PubMed ID: 34283719
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.