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 *

420 related articles for article (PubMed ID: 32920048)

  • 1. iDRBP_MMC: Identifying DNA-Binding Proteins and RNA-Binding Proteins Based on Multi-Label Learning Model and Motif-Based Convolutional Neural Network.
    Zhang J; Chen Q; Liu B
    J Mol Biol; 2020 Nov; 432(22):5860-5875. PubMed ID: 32920048
    [TBL] [Abstract][Full Text] [Related]  

  • 2. iDRBP-EL: Identifying DNA- and RNA- Binding Proteins Based on Hierarchical Ensemble Learning.
    Wang N; Zhang J; Liu B
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):432-441. PubMed ID: 34932484
    [TBL] [Abstract][Full Text] [Related]  

  • 3. iDRBP-ECHF: Identifying DNA- and RNA-binding proteins based on extensible cubic hybrid framework.
    Feng J; Wang N; Zhang J; Liu B
    Comput Biol Med; 2022 Oct; 149():105940. PubMed ID: 36044786
    [TBL] [Abstract][Full Text] [Related]  

  • 4. DeepDRBP-2L: A New Genome Annotation Predictor for Identifying DNA-Binding Proteins and RNA-Binding Proteins Using Convolutional Neural Network and Long Short-Term Memory.
    Zhang J; Chen Q; Liu B
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(4):1451-1463. PubMed ID: 31722485
    [TBL] [Abstract][Full Text] [Related]  

  • 5. IDRBP-PPCT: Identifying Nucleic Acid-Binding Proteins Based on Position-Specific Score Matrix and Position-Specific Frequency Matrix Cross Transformation.
    Wang N; Zhang J; Liu B
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(4):2284-2293. PubMed ID: 33780341
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Improved prediction of DNA and RNA binding proteins with deep learning models.
    Wu S; Guo JT
    Brief Bioinform; 2024 May; 25(4):. PubMed ID: 38856168
    [TBL] [Abstract][Full Text] [Related]  

  • 7. RNA-binding protein recognition based on multi-view deep feature and multi-label learning.
    Yang H; Deng Z; Pan X; Shen HB; Choi KS; Wang L; Wang S; Wu J
    Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32808039
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks.
    Pan X; Rijnbeek P; Yan J; Shen HB
    BMC Genomics; 2018 Jul; 19(1):511. PubMed ID: 29970003
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of the RBP binding sites on lncRNAs using the high-order nucleotide encoding convolutional neural network.
    Zhang SW; Wang Y; Zhang XX; Wang JQ
    Anal Biochem; 2019 Oct; 583():113364. PubMed ID: 31323206
    [TBL] [Abstract][Full Text] [Related]  

  • 11. DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins.
    Hosen MF; Mahmud SMH; Ahmed K; Chen W; Moni MA; Deng HW; Shoombuatong W; Hasan MM
    Comput Biol Med; 2022 Jun; 145():105433. PubMed ID: 35378437
    [TBL] [Abstract][Full Text] [Related]  

  • 12. PredDRBP-MLP: Prediction of DNA-binding proteins and RNA-binding proteins by multilayer perceptron.
    Arican OC; Gumus O
    Comput Biol Med; 2023 Sep; 164():107317. PubMed ID: 37562328
    [TBL] [Abstract][Full Text] [Related]  

  • 13. DeepPN: a deep parallel neural network based on convolutional neural network and graph convolutional network for predicting RNA-protein binding sites.
    Zhang J; Liu B; Wang Z; Lehnert K; Gahegan M
    BMC Bioinformatics; 2022 Jun; 23(1):257. PubMed ID: 35768792
    [TBL] [Abstract][Full Text] [Related]  

  • 14. econvRBP: Improved ensemble convolutional neural networks for RNA binding protein prediction directly from sequence.
    Zhao Y; Du X
    Methods; 2020 Oct; 181-182():15-23. PubMed ID: 31513916
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep-RBPPred: Predicting RNA binding proteins in the proteome scale based on deep learning.
    Zheng J; Zhang X; Zhao X; Tong X; Hong X; Xie J; Liu S
    Sci Rep; 2018 Oct; 8(1):15264. PubMed ID: 30323214
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep neural networks for inferring binding sites of RNA-binding proteins by using distributed representations of RNA primary sequence and secondary structure.
    Deng L; Liu Y; Shi Y; Zhang W; Yang C; Liu H
    BMC Genomics; 2020 Dec; 21(Suppl 13):866. PubMed ID: 33334313
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CRIP: predicting circRNA-RBP-binding sites using a codon-based encoding and hybrid deep neural networks.
    Zhang K; Pan X; Yang Y; Shen HB
    RNA; 2019 Dec; 25(12):1604-1615. PubMed ID: 31537716
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction.
    Su Y; Luo Y; Zhao X; Liu Y; Peng J
    PLoS Comput Biol; 2019 Sep; 15(9):e1007283. PubMed ID: 31483777
    [TBL] [Abstract][Full Text] [Related]  

  • 19. PreRBP-TL: prediction of species-specific RNA-binding proteins based on transfer learning.
    Zhang J; Yan K; Chen Q; Liu B
    Bioinformatics; 2022 Apr; 38(8):2135-2143. PubMed ID: 35176130
    [TBL] [Abstract][Full Text] [Related]  

  • 20. CRMSNet: A deep learning model that uses convolution and residual multi-head self-attention block to predict RBPs for RNA sequence.
    Pan Z; Zhou S; Zou H; Liu C; Zang M; Liu T; Wang Q
    Proteins; 2023 Aug; 91(8):1032-1041. PubMed ID: 36935548
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.