BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

641 related articles for article (PubMed ID: 33980138)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. Prediction of Long Non-Coding RNAs Based on Deep Learning.
    Liu XQ; Li BX; Zeng GR; Liu QY; Ai DM
    Genes (Basel); 2019 Apr; 10(4):. PubMed ID: 30987229
    [TBL] [Abstract][Full Text] [Related]  

  • 6. EMDLP: Ensemble multiscale deep learning model for RNA methylation site prediction.
    Wang H; Liu H; Huang T; Li G; Zhang L; Sun Y
    BMC Bioinformatics; 2022 Jun; 23(1):221. PubMed ID: 35676633
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. Heterogeneous Ensemble Deep Learning Model for Enhanced Arabic Sentiment Analysis.
    Saleh H; Mostafa S; Alharbi A; El-Sappagh S; Alkhalifah T
    Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632116
    [TBL] [Abstract][Full Text] [Related]  

  • 10. LncRNAnet: long non-coding RNA identification using deep learning.
    Baek J; Lee B; Kwon S; Yoon S
    Bioinformatics; 2018 Nov; 34(22):3889-3897. PubMed ID: 29850775
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. A deep learning model for plant lncRNA-protein interaction prediction with graph attention.
    Wekesa JS; Meng J; Luan Y
    Mol Genet Genomics; 2020 Sep; 295(5):1091-1102. PubMed ID: 32409904
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. PRPI-SC: an ensemble deep learning model for predicting plant lncRNA-protein interactions.
    Zhou H; Wekesa JS; Luan Y; Meng J
    BMC Bioinformatics; 2021 Aug; 22(Suppl 3):415. PubMed ID: 34429059
    [TBL] [Abstract][Full Text] [Related]  

  • 15. sORFPred: A Method Based on Comprehensive Features and Ensemble Learning to Predict the sORFs in Plant LncRNAs.
    Chen Z; Meng J; Zhao S; Yin C; Luan Y
    Interdiscip Sci; 2023 Jun; 15(2):189-201. PubMed ID: 36705893
    [TBL] [Abstract][Full Text] [Related]  

  • 16. DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding.
    Zeng M; Wu Y; Lu C; Zhang F; Wu FX; Li M
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34498677
    [TBL] [Abstract][Full Text] [Related]  

  • 17. LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA-protein interaction identification.
    Zhou L; Wang Z; Tian X; Peng L
    BMC Bioinformatics; 2021 Oct; 22(1):479. PubMed ID: 34607567
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Ensemble Learning Based on Hybrid Deep Learning Model for Heart Disease Early Prediction.
    Almulihi A; Saleh H; Hussien AM; Mostafa S; El-Sappagh S; Alnowaiser K; Ali AA; Refaat Hassan M
    Diagnostics (Basel); 2022 Dec; 12(12):. PubMed ID: 36553222
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 33.