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 *

195 related articles for article (PubMed ID: 33604189)

  • 21. I-DNAN6mA: Accurate Identification of DNA N
    Fan XQ; Lin B; Hu J; Guo ZY
    J Chem Inf Model; 2023 Feb; 63(3):1076-1086. PubMed ID: 36722621
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Critical evaluation of web-based DNA N6-methyladenine site prediction tools.
    Hasan MM; Shoombuatong W; Kurata H; Manavalan B
    Brief Funct Genomics; 2021 Jul; 20(4):258-272. PubMed ID: 33491072
    [TBL] [Abstract][Full Text] [Related]  

  • 23. MASQC: Next Generation Sequencing Assists Third Generation Sequencing for Quality Control in N6-Methyladenine DNA Identification.
    Yang S; Wang Y; Chen Y; Dai Q
    Front Genet; 2020; 11():269. PubMed ID: 32269589
    [TBL] [Abstract][Full Text] [Related]  

  • 24. PSAC-6mA: 6mA site identifier using self-attention capsule network based on sequence-positioning.
    Zhou Z; Xiao C; Yin J; She J; Duan H; Liu C; Fu X; Cui F; Qi Q; Zhang Z
    Comput Biol Med; 2024 Mar; 171():108129. PubMed ID: 38342046
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Improving DNA 6mA Site Prediction via Integrating Bidirectional Long Short-Term Memory, Convolutional Neural Network, and Self-Attention Mechanism.
    Hu J; Tang YX; Zhou Y; Li Z; Rao B; Zhang GJ
    J Chem Inf Model; 2023 Sep; 63(17):5689-5700. PubMed ID: 37603823
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Ense-i6mA: Identification of DNA N6-methyl-adenine Sites Using XGB-RFE Feature Se-lection and Ensemble Machine Learning.
    Fan XQ; Lin B; Hu J; Guo ZY
    IEEE/ACM Trans Comput Biol Bioinform; 2024 Jul; PP():. PubMed ID: 38949938
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Deep learning based method for predicting DNA N6-methyladenosine sites.
    Han K; Wang J; Chu Y; Liao Q; Ding Y; Zheng D; Wan J; Guo X; Zou Q
    Methods; 2024 Oct; 230():91-98. PubMed ID: 39097179
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. 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]  

  • 30. Distribution Pattern of N6-Methyladenine DNA Modification in the Seashore Paspalum (
    Hao JS; Xing JF; Hu X; Wang ZY; Tang MQ; Liao L
    Front Plant Sci; 2022; 13():922152. PubMed ID: 35873961
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. 6mA DNA Methylation on Genes in Plants Is Associated with Gene Complexity, Expression and Duplication.
    Zhang Y; Zhang Q; Yang X; Gu X; Chen J; Shi T
    Plants (Basel); 2023 May; 12(10):. PubMed ID: 37653866
    [No Abstract]   [Full Text] [Related]  

  • 33. SNN6mA: Improved DNA N6-methyladenine site prediction using Siamese network-based feature embedding.
    Yu X; Hu J; Zhang Y
    Comput Biol Med; 2023 Nov; 166():107533. PubMed ID: 37793205
    [TBL] [Abstract][Full Text] [Related]  

  • 34. DNA N
    Karanthamalai J; Chodon A; Chauhan S; Pandi G
    Plants (Basel); 2020 Feb; 9(2):. PubMed ID: 32075056
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Detection of N
    Liu B; Wang H
    Adv Exp Med Biol; 2021; 1280():83-95. PubMed ID: 33791976
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. A review of methods for predicting DNA N6-methyladenine sites.
    Han K; Wang J; Wang Y; Zhang L; Yu M; Xie F; Zheng D; Xu Y; Ding Y; Wan J
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36502371
    [TBL] [Abstract][Full Text] [Related]  

  • 38. N
    Xiao CL; Zhu S; He M; Chen D; Zhang Q; Chen Y; Yu G; Liu J; Xie SQ; Luo F; Liang Z; Wang DP; Bo XC; Gu XF; Wang K; Yan GR
    Mol Cell; 2018 Jul; 71(2):306-318.e7. PubMed ID: 30017583
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A Bioinformatics Tool for the Prediction of DNA N6-Methyladenine Modifications Based on Feature Fusion and Optimization Protocol.
    Cai J; Wang D; Chen R; Niu Y; Ye X; Su R; Xiao G; Wei L
    Front Bioeng Biotechnol; 2020; 8():502. PubMed ID: 32582654
    [TBL] [Abstract][Full Text] [Related]  

  • 40. DNA N6-Methyladenine Modification in Wild and Cultivated Soybeans Reveals Different Patterns in Nucleus and Cytoplasm.
    Yuan DH; Xing JF; Luan MW; Ji KK; Guo J; Xie SQ; Zhang YM
    Front Genet; 2020; 11():736. PubMed ID: 32849778
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.