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 *

207 related articles for article (PubMed ID: 34534646)

  • 21. TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profile.
    Yang T; Henao R
    PLoS Comput Biol; 2022 Sep; 18(9):e1009921. PubMed ID: 36094959
    [TBL] [Abstract][Full Text] [Related]  

  • 22. EnsembleSplice: ensemble deep learning model for splice site prediction.
    Akpokiro V; Martin T; Oluwadare O
    BMC Bioinformatics; 2022 Oct; 23(1):413. PubMed ID: 36203144
    [TBL] [Abstract][Full Text] [Related]  

  • 23. FactorNet: A deep learning framework for predicting cell type specific transcription factor binding from nucleotide-resolution sequential data.
    Quang D; Xie X
    Methods; 2019 Aug; 166():40-47. PubMed ID: 30922998
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Base-resolution prediction of transcription factor binding signals by a deep learning framework.
    Zhang Q; He Y; Wang S; Chen Z; Guo Z; Cui Z; Liu Q; Huang DS
    PLoS Comput Biol; 2022 Mar; 18(3):e1009941. PubMed ID: 35263332
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Quantifying Intensities of Transcription Factor-DNA Binding by Learning From an Ensemble of Protein Binding Microarrays.
    Quan L; Mei J; He R; Sun X; Nie L; Li K; Lyu Q
    IEEE J Biomed Health Inform; 2021 Jul; 25(7):2811-2819. PubMed ID: 33571101
    [TBL] [Abstract][Full Text] [Related]  

  • 26.
    Alexandari AM; Horton CA; Shrikumar A; Shah N; Li E; Weilert M; Pufall MA; Zeitlinger J; Fordyce PM; Kundaje A
    bioRxiv; 2023 May; ():. PubMed ID: 37214836
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Assessing deep learning methods in cis-regulatory motif finding based on genomic sequencing data.
    Zhang S; Ma A; Zhao J; Xu D; Ma Q; Wang Y
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34607350
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. Predicting in-vitro Transcription Factor Binding Sites Using DNA Sequence + Shape.
    Zhang Q; Shen Z; Huang DS
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(2):667-676. PubMed ID: 31634140
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Learning and interpreting the gene regulatory grammar in a deep learning framework.
    Chen L; Capra JA
    PLoS Comput Biol; 2020 Nov; 16(11):e1008334. PubMed ID: 33137083
    [TBL] [Abstract][Full Text] [Related]  

  • 31. DeepMotifSyn: a deep learning approach to synthesize heterodimeric DNA motifs.
    Lin J; Huang L; Chen X; Zhang S; Wong KC
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34524404
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Edge deep learning for neural implants: a case study of seizure detection and prediction.
    Liu X; Richardson AG
    J Neural Eng; 2021 Apr; 18(4):. PubMed ID: 33794507
    [No Abstract]   [Full Text] [Related]  

  • 33. Imputation for transcription factor binding predictions based on deep learning.
    Qin Q; Feng J
    PLoS Comput Biol; 2017 Feb; 13(2):e1005403. PubMed ID: 28234893
    [TBL] [Abstract][Full Text] [Related]  

  • 34. DeepCAGE: Incorporating Transcription Factors in Genome-wide Prediction of Chromatin Accessibility.
    Liu Q; Hua K; Zhang X; Wong WH; Jiang R
    Genomics Proteomics Bioinformatics; 2022 Jun; 20(3):496-507. PubMed ID: 35293310
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Detection of transcription factors binding to methylated DNA by deep recurrent neural network.
    Li H; Gong Y; Liu Y; Lin H; Wang G
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34962264
    [TBL] [Abstract][Full Text] [Related]  

  • 36. SAResNet: self-attention residual network for predicting DNA-protein binding.
    Shen LC; Liu Y; Song J; Yu DJ
    Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33837387
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Prediction of regulatory motifs from human Chip-sequencing data using a deep learning framework.
    Yang J; Ma A; Hoppe AD; Wang C; Li Y; Zhang C; Wang Y; Liu B; Ma Q
    Nucleic Acids Res; 2019 Sep; 47(15):7809-7824. PubMed ID: 31372637
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Discovery of a non-canonical GRHL1 binding site using deep convolutional and recurrent neural networks.
    Proft S; Leiz J; Heinemann U; Seelow D; Schmidt-Ott KM; Rutkiewicz M
    BMC Genomics; 2023 Dec; 24(1):736. PubMed ID: 38049725
    [TBL] [Abstract][Full Text] [Related]  

  • 40. MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network.
    Han K; Shen LC; Zhu YH; Xu J; Song J; Yu DJ
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34664074
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.