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 *

142 related articles for article (PubMed ID: 36650801)

  • 1. LangMoDHS: A deep learning language model for predicting DNase I hypersensitive sites in mouse genome.
    Tang X; Zheng P; Liu Y; Yao Y; Huang G
    Math Biosci Eng; 2023 Jan; 20(1):1037-1057. PubMed ID: 36650801
    [TBL] [Abstract][Full Text] [Related]  

  • 2. iDHS-FFLG: Identifying DNase I Hypersensitive Sites by Feature Fusion and Local-Global Feature Extraction Network.
    Wang LS; Sun ZL
    Interdiscip Sci; 2023 Jun; 15(2):155-170. PubMed ID: 36166165
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep learning for DNase I hypersensitive sites identification.
    Lyu C; Wang L; Zhang J
    BMC Genomics; 2018 Dec; 19(Suppl 10):905. PubMed ID: 30598079
    [TBL] [Abstract][Full Text] [Related]  

  • 4. iDHS-Deep: an integrated tool for predicting DNase I hypersensitive sites by deep neural network.
    Dao FY; Lv H; Su W; Sun ZJ; Huang QL; Lin H
    Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33751027
    [TBL] [Abstract][Full Text] [Related]  

  • 5. DeepLBCEPred: A Bi-LSTM and multi-scale CNN-based deep learning method for predicting linear B-cell epitopes.
    Qi Y; Zheng P; Huang G
    Front Microbiol; 2023; 14():1117027. PubMed ID: 36910218
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Use Chou's 5-steps rule to identify DNase I hypersensitive sites via dinucleotide property matrix and extreme gradient boosting.
    Zhang S; Xue T
    Mol Genet Genomics; 2020 Nov; 295(6):1431-1442. PubMed ID: 32685987
    [TBL] [Abstract][Full Text] [Related]  

  • 7. pDHS-SVM: A prediction method for plant DNase I hypersensitive sites based on support vector machine.
    Zhang S; Zhou Z; Chen X; Hu Y; Yang L
    J Theor Biol; 2017 Aug; 426():126-133. PubMed ID: 28552554
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Genome-scale identification of Caenorhabditis elegans regulatory elements by tiling-array mapping of DNase I hypersensitive sites.
    Shi B; Guo X; Wu T; Sheng S; Wang J; Skogerbø G; Zhu X; Chen R
    BMC Genomics; 2009 Feb; 10():92. PubMed ID: 19243610
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep6mAPred: A CNN and Bi-LSTM-based deep learning method for predicting DNA N6-methyladenosine sites across plant species.
    Tang X; Zheng P; Li X; Wu H; Wei DQ; Liu Y; Huang G
    Methods; 2022 Aug; 204():142-150. PubMed ID: 35477057
    [TBL] [Abstract][Full Text] [Related]  

  • 10. iDHS-DT: Identifying DNase I hypersensitive sites by integrating DNA dinucleotide and trinucleotide information.
    Zou H; Yang F; Yin Z
    Biophys Chem; 2022 Feb; 281():106717. PubMed ID: 34798459
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Genome-Wide Characterization of DNase I-Hypersensitive Sites and Cold Response Regulatory Landscapes in Grasses.
    Han J; Wang P; Wang Q; Lin Q; Chen Z; Yu G; Miao C; Dao Y; Wu R; Schnable JC; Tang H; Wang K
    Plant Cell; 2020 Aug; 32(8):2457-2473. PubMed ID: 32471863
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Advances of DNase-seq for mapping active gene regulatory elements across the genome in animals.
    Chen A; Chen D; Chen Y
    Gene; 2018 Aug; 667():83-94. PubMed ID: 29772251
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of DNase I hypersensitive sites in plant genome using multiple modes of pseudo components.
    Zhang S; Zhuang W; Xu Z
    Anal Biochem; 2018 May; 549():149-156. PubMed ID: 29604265
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Enhancer-LSTMAtt: A Bi-LSTM and Attention-Based Deep Learning Method for Enhancer Recognition.
    Huang G; Luo W; Zhang G; Zheng P; Yao Y; Lyu J; Liu Y; Wei DQ
    Biomolecules; 2022 Jul; 12(7):. PubMed ID: 35883552
    [TBL] [Abstract][Full Text] [Related]  

  • 15. iDHS-EL: identifying DNase I hypersensitive sites by fusing three different modes of pseudo nucleotide composition into an ensemble learning framework.
    Liu B; Long R; Chou KC
    Bioinformatics; 2016 Aug; 32(16):2411-8. PubMed ID: 27153623
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Correlation between DNase I hypersensitive site distribution and gene expression in HeLa S3 cells.
    Wang YM; Zhou P; Wang LY; Li ZH; Zhang YN; Zhang YX
    PLoS One; 2012; 7(8):e42414. PubMed ID: 22900019
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Genome-wide DNase I-hypersensitive site assay reveals distinct genomic distributions and functional features of open chromatin in autopolyploid sugarcane.
    Yu G; Sun B; Zhu Z; Mehareb EM; Teng A; Han J; Zhang H; Liu J; Liu X; Raza G; Zhang B; Zhang Y; Wang K
    Plant J; 2024 Jan; 117(2):573-589. PubMed ID: 37897092
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Genome-wide detection of DNase I hypersensitive sites in single cells and FFPE tissue samples.
    Jin W; Tang Q; Wan M; Cui K; Zhang Y; Ren G; Ni B; Sklar J; Przytycka TM; Childs R; Levens D; Zhao K
    Nature; 2015 Dec; 528(7580):142-6. PubMed ID: 26605532
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Open chromatin in plant genomes.
    Zhang W; Zhang T; Wu Y; Jiang J
    Cytogenet Genome Res; 2014; 143(1-3):18-27. PubMed ID: 24923879
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Genome-Wide Identification of Regulatory Sequences Undergoing Accelerated Evolution in the Human Genome.
    Dong X; Wang X; Zhang F; Tian W
    Mol Biol Evol; 2016 Oct; 33(10):2565-75. PubMed ID: 27401230
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.