BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

153 related articles for article (PubMed ID: 35231584)

  • 21. SoftVoting6mA: An improved ensemble-based method for predicting DNA N6-methyladenine sites in cross-species genomes.
    Yin Z; Lyu J; Zhang G; Huang X; Ma Q; Jiang J
    Math Biosci Eng; 2024 Feb; 21(3):3798-3815. PubMed ID: 38549308
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site.
    Huang G; Huang X; Luo W
    BioData Min; 2023 Nov; 16(1):34. PubMed ID: 38012796
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. MM-6mAPred: identifying DNA N6-methyladenine sites based on Markov model.
    Pian C; Zhang G; Li F; Fan X
    Bioinformatics; 2020 Jan; 36(2):388-392. PubMed ID: 31297537
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Same modification, different location: the mythical role of N
    Jiménez-Ramírez IA; Pijeira-Fernández G; Moreno-Cálix DM; De-la-Peña C
    Planta; 2022 Jun; 256(1):9. PubMed ID: 35696004
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Deep transformers and convolutional neural network in identifying DNA N6-methyladenine sites in cross-species genomes.
    Le NQK; Ho QT
    Methods; 2022 Aug; 204():199-206. PubMed ID: 34915158
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. Identification of AtALKBH1A and AtALKBH1D as DNA N
    Li D; Du J; Gao M; He C
    Plant Sci; 2024 May; 342():112055. PubMed ID: 38432357
    [TBL] [Abstract][Full Text] [Related]  

  • 29. DNA-MP: a generalized DNA modifications predictor for multiple species based on powerful sequence encoding method.
    Nabeel Asim M; Ali Ibrahim M; Fazeel A; Dengel A; Ahmed S
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36528802
    [TBL] [Abstract][Full Text] [Related]  

  • 30. N6-methyladenine functions as a potential epigenetic mark in eukaryotes.
    Sun Q; Huang S; Wang X; Zhu Y; Chen Z; Chen D
    Bioessays; 2015 Nov; 37(11):1155-62. PubMed ID: 26293475
    [TBL] [Abstract][Full Text] [Related]  

  • 31. The exploration of N6-deoxyadenosine methylation in mammalian genomes.
    Li X; Zhang Z; Luo X; Schrier J; Yang AD; Wu TP
    Protein Cell; 2021 Oct; 12(10):756-768. PubMed ID: 34405377
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. 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]  

  • 34. iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization.
    Yu Y; He W; Jin J; Xiao G; Cui L; Zeng R; Wei L
    Bioinformatics; 2021 Dec; 37(24):4603-4610. PubMed ID: 34601568
    [TBL] [Abstract][Full Text] [Related]  

  • 35. i6mA-Pred: identifying DNA N6-methyladenine sites in the rice genome.
    Chen W; Lv H; Nie F; Lin H
    Bioinformatics; 2019 Aug; 35(16):2796-2800. PubMed ID: 30624619
    [TBL] [Abstract][Full Text] [Related]  

  • 36. N
    Zhang Q; Liang Z; Cui X; Ji C; Li Y; Zhang P; Liu J; Riaz A; Yao P; Liu M; Wang Y; Lu T; Yu H; Yang D; Zheng H; Gu X
    Mol Plant; 2018 Dec; 11(12):1492-1508. PubMed ID: 30448535
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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]  

  • 38. 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]  

  • 39. N(6) -Methyladenine: A Potential Epigenetic Mark in Eukaryotic Genomes.
    Summerer D
    Angew Chem Int Ed Engl; 2015 Sep; 54(37):10714-6. PubMed ID: 26211457
    [TBL] [Abstract][Full Text] [Related]  

  • 40. DeepMethylation: a deep learning based framework with GloVe and Transformer encoder for DNA methylation prediction.
    Wang Z; Xiang S; Zhou C; Xu Q
    PeerJ; 2023; 11():e16125. PubMed ID: 37780374
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.