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 *

170 related articles for article (PubMed ID: 35768759)

  • 1. Hyb4mC: a hybrid DNA2vec-based model for DNA N4-methylcytosine sites prediction.
    Liang Y; Wu Y; Zhang Z; Liu N; Peng J; Tang J
    BMC Bioinformatics; 2022 Jun; 23(1):258. PubMed ID: 35768759
    [TBL] [Abstract][Full Text] [Related]  

  • 2. DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites.
    Liu Q; Chen J; Wang Y; Li S; Jia C; Song J; Li F
    Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32608476
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep4mC: systematic assessment and computational prediction for DNA N4-methylcytosine sites by deep learning.
    Xu H; Jia P; Zhao Z
    Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32578842
    [TBL] [Abstract][Full Text] [Related]  

  • 4. DCNN-4mC: Densely connected neural network based N4-methylcytosine site prediction in multiple species.
    Rehman MU; Tayara H; Chong KT
    Comput Struct Biotechnol J; 2021; 19():6009-6019. PubMed ID: 34849205
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Deep Neural Network for Identifying DNA N4-Methylcytosine Sites.
    Zeng F; Fang G; Yao L
    Front Genet; 2020; 11():209. PubMed ID: 32211035
    [No Abstract]   [Full Text] [Related]  

  • 6. Identifying DNA N4-methylcytosine sites in the rosaceae genome with a deep learning model relying on distributed feature representation.
    Khanal J; Tayara H; Zou Q; Chong KT
    Comput Struct Biotechnol J; 2021; 19():1612-1619. PubMed ID: 33868598
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Developing a Multi-Layer Deep Learning Based Predictive Model to Identify DNA N4-Methylcytosine Modifications.
    Zeng R; Liao M
    Front Bioeng Biotechnol; 2020; 8():274. PubMed ID: 32373597
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Systematic Analysis and Accurate Identification of DNA N4-Methylcytosine Sites by Deep Learning.
    Yu L; Zhang Y; Xue L; Liu F; Chen Q; Luo J; Jing R
    Front Microbiol; 2022; 13():843425. PubMed ID: 35401453
    [TBL] [Abstract][Full Text] [Related]  

  • 9. i4mC-Deep: An Intelligent Predictor of N4-Methylcytosine Sites Using a Deep Learning Approach with Chemical Properties.
    Alam W; Tayara H; Chong KT
    Genes (Basel); 2021 Jul; 12(8):. PubMed ID: 34440291
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MSNet-4mC: learning effective multi-scale representations for identifying DNA N4-methylcytosine sites.
    Liu C; Song J; Ogata H; Akutsu T
    Bioinformatics; 2022 Nov; 38(23):5160-5167. PubMed ID: 36205602
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep-4mCW2V: A sequence-based predictor to identify N4-methylcytosine sites in Escherichia coli.
    Zulfiqar H; Sun ZJ; Huang QL; Yuan SS; Lv H; Dao FY; Lin H; Li YW
    Methods; 2022 Jul; 203():558-563. PubMed ID: 34352373
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species.
    Wei L; Luan S; Nagai LAE; Su R; Zou Q
    Bioinformatics; 2019 Apr; 35(8):1326-1333. PubMed ID: 30239627
    [TBL] [Abstract][Full Text] [Related]  

  • 13. MultiScale-CNN-4mCPred: a multi-scale CNN and adaptive embedding-based method for mouse genome DNA N4-methylcytosine prediction.
    Zheng P; Zhang G; Liu Y; Huang G
    BMC Bioinformatics; 2023 Jan; 24(1):21. PubMed ID: 36653789
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Mouse4mC-BGRU: Deep learning for predicting DNA N4-methylcytosine sites in mouse genome.
    Jin J; Yu Y; Wei L
    Methods; 2022 Aug; 204():258-262. PubMed ID: 35093537
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 4mCPred-CNN-Prediction of DNA N4-Methylcytosine in the Mouse Genome Using a Convolutional Neural Network.
    Abbas Z; Tayara H; Chong KT
    Genes (Basel); 2021 Feb; 12(2):. PubMed ID: 33672576
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Accurate prediction of DNA N
    Zhao Z; Zhang X; Chen F; Fang L; Li J
    BMC Genomics; 2020 Sep; 21(1):627. PubMed ID: 32917152
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Grid Search-Based Multilayer Dynamic Ensemble System to Identify DNA N4-Methylcytosine Using Deep Learning Approach.
    Halder RK; Uddin MN; Uddin MA; Aryal S; Islam MA; Hossain F; Jahan N; Khraisat A; Alazab A
    Genes (Basel); 2023 Feb; 14(3):. PubMed ID: 36980853
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A novel method for predicting DNA N
    Zhang Y; Hu M; Mo Q; Gan W; Luo J
    J Bioinform Comput Biol; 2023 Feb; 21(1):2350003. PubMed ID: 36891974
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Iterative feature representations improve N4-methylcytosine site prediction.
    Wei L; Su R; Luan S; Liao Z; Manavalan B; Zou Q; Shi X
    Bioinformatics; 2019 Dec; 35(23):4930-4937. PubMed ID: 31099381
    [TBL] [Abstract][Full Text] [Related]  

  • 20. DNA4mC-LIP: a linear integration method to identify N4-methylcytosine site in multiple species.
    Tang Q; Kang J; Yuan J; Tang H; Li X; Lin H; Huang J; Chen W
    Bioinformatics; 2020 Jun; 36(11):3327-3335. PubMed ID: 32108866
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.