BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

139 related articles for article (PubMed ID: 34038367)

  • 21. Predicting circRNA-RBP Binding Sites Using a Hybrid Deep Neural Network.
    Liu L; Wei Y; Tan Z; Zhang Q; Sun J; Zhao Q
    Interdiscip Sci; 2024 Feb; ():. PubMed ID: 38381315
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Decoding protein binding landscape on circular RNAs with base-resolution transformer models.
    Wu H; Liu X; Fang Y; Yang Y; Huang Y; Pan X; Shen HB
    Comput Biol Med; 2024 Mar; 171():108175. PubMed ID: 38402841
    [TBL] [Abstract][Full Text] [Related]  

  • 23. RNA-Protein Binding Sites Prediction via Multi Scale Convolutional Gated Recurrent Unit Networks.
    Shen Z; Deng SP; Huang DS
    IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(5):1741-1750. PubMed ID: 30990191
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. 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]  

  • 26. Research progress on prediction of RNA-protein binding sites in the past five years.
    Zuo Y; Chen H; Yang L; Chen R; Zhang X; Deng Z
    Anal Biochem; 2024 Aug; 691():115535. PubMed ID: 38643894
    [TBL] [Abstract][Full Text] [Related]  

  • 27. CircSSNN: circRNA-binding site prediction via sequence self-attention neural networks with pre-normalization.
    Cao C; Yang S; Li M; Li C
    BMC Bioinformatics; 2023 May; 24(1):220. PubMed ID: 37254080
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. DeepACLSTM: deep asymmetric convolutional long short-term memory neural models for protein secondary structure prediction.
    Guo Y; Li W; Wang B; Liu H; Zhou D
    BMC Bioinformatics; 2019 Jun; 20(1):341. PubMed ID: 31208331
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions.
    Wang L; You ZH; Huang DS; Zhou F
    IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(3):972-980. PubMed ID: 30296240
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features.
    Zhang L; Lu C; Zeng M; Li Y; Wang J
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36511222
    [TBL] [Abstract][Full Text] [Related]  

  • 33. MCNN: Multiple Convolutional Neural Networks for RNA-Protein Binding Sites Prediction.
    Pan Z; Zhou S; Zou H; Liu C; Zang M; Liu T; Wang Q
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(2):1180-1187. PubMed ID: 35471886
    [TBL] [Abstract][Full Text] [Related]  

  • 34. DeepOMe: A Web Server for the Prediction of 2'-O-Me Sites Based on the Hybrid CNN and BLSTM Architecture.
    Li H; Chen L; Huang Z; Luo X; Li H; Ren J; Xie Y
    Front Cell Dev Biol; 2021; 9():686894. PubMed ID: 34055810
    [TBL] [Abstract][Full Text] [Related]  

  • 35. ProtDet-CCH: Protein Remote Homology Detection by Combining Long Short-Term Memory and Ranking Methods.
    Liu B; Li S
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(4):1203-1210. PubMed ID: 29993950
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Matrix factorization with neural network for predicting circRNA-RBP interactions.
    Wang Z; Lei X
    BMC Bioinformatics; 2020 Jun; 21(1):229. PubMed ID: 32503474
    [TBL] [Abstract][Full Text] [Related]  

  • 37. LPI-CNNCP: Prediction of lncRNA-protein interactions by using convolutional neural network with the copy-padding trick.
    Zhang SW; Zhang XX; Fan XN; Li WN
    Anal Biochem; 2020 Jul; 601():113767. PubMed ID: 32454029
    [TBL] [Abstract][Full Text] [Related]  

  • 38. rBPDL:Predicting RNA-Binding Proteins Using Deep Learning.
    Niu M; Wu J; Zou Q; Liu Z; Xu L
    IEEE J Biomed Health Inform; 2021 Sep; 25(9):3668-3676. PubMed ID: 33780344
    [TBL] [Abstract][Full Text] [Related]  

  • 39. RBPsuite: RNA-protein binding sites prediction suite based on deep learning.
    Pan X; Fang Y; Li X; Yang Y; Shen HB
    BMC Genomics; 2020 Dec; 21(1):884. PubMed ID: 33297946
    [TBL] [Abstract][Full Text] [Related]  

  • 40. MAHyNet: Parallel Hybrid Network for RNA-Protein Binding Sites Prediction Based on Multi-Head Attention and Expectation Pooling.
    Wang W; Sun Z; Liu D; Zhang H; Li J; Wang X; Zhou Y
    IEEE/ACM Trans Comput Biol Bioinform; 2024; 21(3):416-427. PubMed ID: 38363672
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.