BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

128 related articles for article (PubMed ID: 37603823)

  • 21. Secondary and Topological Structural Merge Prediction of Alpha-Helical Transmembrane Proteins Using a Hybrid Model Based on Hidden Markov and Long Short-Term Memory Neural Networks.
    Gao T; Zhao Y; Zhang L; Wang H
    Int J Mol Sci; 2023 Mar; 24(6):. PubMed ID: 36982795
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework.
    Hasan MM; Basith S; Khatun MS; Lee G; Manavalan B; Kurata H
    Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32910169
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Improving protein-protein interaction site prediction using deep residual neural network.
    Hu J; Dong M; Tang YX; Zhang GJ
    Anal Biochem; 2023 Jun; 670():115132. PubMed ID: 36997014
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Convolutional Neural Network and Bidirectional Long Short-Term Memory-Based Method for Predicting Drug-Disease Associations.
    Xuan P; Ye Y; Zhang T; Zhao L; Sun C
    Cells; 2019 Jul; 8(7):. PubMed ID: 31336774
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions.
    Wang T; Xuan P; Liu Z; Zhang T
    BMC Bioinformatics; 2020 Jun; 21(1):230. PubMed ID: 32503424
    [TBL] [Abstract][Full Text] [Related]  

  • 26. iPromoter-CLA: Identifying promoters and their strength by deep capsule networks with bidirectional long short-term memory.
    Zhang ZM; Zhao JP; Wei PJ; Zheng CH
    Comput Methods Programs Biomed; 2022 Nov; 226():107087. PubMed ID: 36099675
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A Study of Two-Way Short- and Long-Term Memory Network Intelligent Computing IoT Model-Assisted Home Education Attention Mechanism.
    Ma S
    Comput Intell Neurosci; 2021; 2021():3587884. PubMed ID: 34970310
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Prediction of protein N-terminal acetylation modification sites based on CNN-BiLSTM-attention model.
    Ke J; Zhao J; Li H; Yuan L; Dong G; Wang G
    Comput Biol Med; 2024 May; 174():108330. PubMed ID: 38588617
    [TBL] [Abstract][Full Text] [Related]  

  • 29. i6mA-Vote: Cross-Species Identification of DNA N6-Methyladenine Sites in Plant Genomes Based on Ensemble Learning With Voting.
    Teng Z; Zhao Z; Li Y; Tian Z; Guo M; Lu Q; Wang G
    Front Plant Sci; 2022; 13():845835. PubMed ID: 35237293
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A novel combined model for prediction of daily precipitation data using instantaneous frequency feature and bidirectional long short time memory networks.
    Latifoğlu L
    Environ Sci Pollut Res Int; 2022 Jun; 29(28):42899-42912. PubMed ID: 35092586
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Attention-assisted hybrid 1D CNN-BiLSTM model for predicting electric field induced by transcranial magnetic stimulation coil.
    Sathi KA; Hosain MK; Hossain MA; Kouzani AZ
    Sci Rep; 2023 Feb; 13(1):2494. PubMed ID: 36781975
    [TBL] [Abstract][Full Text] [Related]  

  • 32. SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome.
    Basith S; Manavalan B; Shin TH; Lee G
    Mol Ther Nucleic Acids; 2019 Dec; 18():131-141. PubMed ID: 31542696
    [TBL] [Abstract][Full Text] [Related]  

  • 33. DLm6Am: A Deep-Learning-Based Tool for Identifying N6,2'-O-Dimethyladenosine Sites in RNA Sequences.
    Luo Z; Su W; Lou L; Qiu W; Xiao X; Xu Z
    Int J Mol Sci; 2022 Sep; 23(19):. PubMed ID: 36232325
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A convolution based computational approach towards DNA N6-methyladenine site identification and motif extraction in rice genome.
    Rahman CR; Amin R; Shatabda S; Toaha MSI
    Sci Rep; 2021 May; 11(1):10357. PubMed ID: 33990665
    [TBL] [Abstract][Full Text] [Related]  

  • 35. BERT6mA: prediction of DNA N6-methyladenine site using deep learning-based approaches.
    Tsukiyama S; Hasan MM; Deng HW; Kurata H
    Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35225328
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 6mA-RicePred: A Method for Identifying DNA
    Huang Q; Zhang J; Wei L; Guo F; Zou Q
    Front Plant Sci; 2020; 11():4. PubMed ID: 32076430
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Plant6mA: A predictor for predicting N6-methyladenine sites with lightweight structure in plant genomes.
    Shi H; Li S; Su X
    Methods; 2022 Aug; 204():126-131. PubMed ID: 35231584
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Grain protein function prediction based on self-attention mechanism and bidirectional LSTM.
    Liu J; Tang X; Guan X
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36567619
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Spatial-frequency-temporal convolutional recurrent network for olfactory-enhanced EEG emotion recognition.
    Xing M; Hu S; Wei B; Lv Z
    J Neurosci Methods; 2022 Jul; 376():109624. PubMed ID: 35588948
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Ultra short term power load forecasting based on the fusion of Seq2Seq BiLSTM and multi head attention mechanism.
    Gou Y; Guo C; Qin R
    PLoS One; 2024; 19(3):e0299632. PubMed ID: 38517854
    [TBL] [Abstract][Full Text] [Related]  

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