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 *

179 related articles for article (PubMed ID: 39107889)

  • 1. BertSNR: an interpretable deep learning framework for single-nucleotide resolution identification of transcription factor binding sites based on DNA language model.
    Luo H; Tang L; Zeng M; Yin R; Ding P; Luo L; Li M
    Bioinformatics; 2024 Aug; 40(8):. PubMed ID: 39107889
    [TBL] [Abstract][Full Text] [Related]  

  • 2. BERT-TFBS: a novel BERT-based model for predicting transcription factor binding sites by transfer learning.
    Wang K; Zeng X; Zhou J; Liu F; Luan X; Wang X
    Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38701417
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MLSNet: a deep learning model for predicting transcription factor binding sites.
    Zhang Y; Wang Z; Ge F; Wang X; Zhang Y; Li S; Guo Y; Song J; Yu DJ
    Brief Bioinform; 2024 Sep; 25(6):. PubMed ID: 39350338
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Base-pair resolution detection of transcription factor binding site by deep deconvolutional network.
    Salekin S; Zhang JM; Huang Y
    Bioinformatics; 2018 Oct; 34(20):3446-3453. PubMed ID: 29757349
    [TBL] [Abstract][Full Text] [Related]  

  • 5. High-resolution transcription factor binding sites prediction improved performance and interpretability by deep learning method.
    Zhang Y; Wang Z; Zeng Y; Zhou J; Zou Q
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34272562
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape.
    Zhang Y; Wang Z; Zeng Y; Liu Y; Xiong S; Wang M; Zhou J; Zou Q
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34929739
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An intuitionistic approach to scoring DNA sequences against transcription factor binding site motifs.
    Garcia-Alcalde F; Blanco A; Shepherd AJ
    BMC Bioinformatics; 2010 Nov; 11():551. PubMed ID: 21059262
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Molecular and structural considerations of TF-DNA binding for the generation of biologically meaningful and accurate phylogenetic footprinting analysis: the LysR-type transcriptional regulator family as a study model.
    Oliver P; Peralta-Gil M; Tabche ML; Merino E
    BMC Genomics; 2016 Aug; 17(1):686. PubMed ID: 27567672
    [TBL] [Abstract][Full Text] [Related]  

  • 9. GraphPro: An interpretable graph neural network-based model for identifying promoters in multiple species.
    Zhang Q; Wei Y; Liu L
    Comput Biol Med; 2024 Sep; 180():108974. PubMed ID: 39096613
    [TBL] [Abstract][Full Text] [Related]  

  • 10. DeepD2V: A Novel Deep Learning-Based Framework for Predicting Transcription Factor Binding Sites from Combined DNA Sequence.
    Deng L; Wu H; Liu X; Liu H
    Int J Mol Sci; 2021 May; 22(11):. PubMed ID: 34073774
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MulTFBS: A Spatial-Temporal Network with Multichannels for Predicting Transcription Factor Binding Sites.
    Zhuang J; Huang X; Liu S; Gao W; Su R; Feng K
    J Chem Inf Model; 2024 May; 64(10):4322-4333. PubMed ID: 38733561
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Incorporating evolution of transcription factor binding sites into annotated alignments.
    Bais AS; Grossmann S; Vingron M
    J Biosci; 2007 Aug; 32(5):841-50. PubMed ID: 17914226
    [TBL] [Abstract][Full Text] [Related]  

  • 13. DISCOVER: a feature-based discriminative method for motif search in complex genomes.
    Fu W; Ray P; Xing EP
    Bioinformatics; 2009 Jun; 25(12):i321-9. PubMed ID: 19478006
    [TBL] [Abstract][Full Text] [Related]  

  • 14. FCNGRU: Locating Transcription Factor Binding Sites by Combing Fully Convolutional Neural Network With Gated Recurrent Unit.
    Wang S; He Y; Chen Z; Zhang Q
    IEEE J Biomed Health Inform; 2022 Apr; 26(4):1883-1890. PubMed ID: 34613923
    [TBL] [Abstract][Full Text] [Related]  

  • 15. DeepSTF: predicting transcription factor binding sites by interpretable deep neural networks combining sequence and shape.
    Ding P; Wang Y; Zhang X; Gao X; Liu G; Yu B
    Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37328639
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Discovery of sequence motifs related to coexpression of genes using evolutionary computation.
    Fogel GB; Weekes DG; Varga G; Dow ER; Harlow HB; Onyia JE; Su C
    Nucleic Acids Res; 2004; 32(13):3826-35. PubMed ID: 15266008
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A DNA shape-based regulatory score improves position-weight matrix-based recognition of transcription factor binding sites.
    Yang J; Ramsey SA
    Bioinformatics; 2015 Nov; 31(21):3445-50. PubMed ID: 26130577
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identifying functional transcription factor binding sites in yeast by considering their positional preference in the promoters.
    Lai FJ; Chiu CC; Yang TH; Huang YM; Wu WS
    PLoS One; 2013; 8(12):e83791. PubMed ID: 24386279
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Building Transcription Factor Binding Site Models to Understand Gene Regulation in Plants.
    Lai X; Stigliani A; Vachon G; Carles C; Smaczniak C; Zubieta C; Kaufmann K; Parcy F
    Mol Plant; 2019 Jun; 12(6):743-763. PubMed ID: 30447332
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Regulatory motif finding by logic regression.
    Keles S; van der Laan MJ; Vulpe C
    Bioinformatics; 2004 Nov; 20(16):2799-811. PubMed ID: 15166027
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.