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 *

130 related articles for article (PubMed ID: 32946398)

  • 1. Predicting TF-DNA Binding Motifs from ChIP-seq Datasets Using the Bag-Based Classifier Combined With a Multi-Fold Learning Scheme.
    Zhang Q; Wang D; Han K; Huang DS
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(5):1743-1751. PubMed ID: 32946398
    [TBL] [Abstract][Full Text] [Related]  

  • 2. WSMD: weakly-supervised motif discovery in transcription factor ChIP-seq data.
    Zhang H; Zhu L; Huang DS
    Sci Rep; 2017 Jun; 7(1):3217. PubMed ID: 28607381
    [TBL] [Abstract][Full Text] [Related]  

  • 3. DREME: motif discovery in transcription factor ChIP-seq data.
    Bailey TL
    Bioinformatics; 2011 Jun; 27(12):1653-9. PubMed ID: 21543442
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multi-Scale Capsule Network for Predicting DNA-Protein Binding Sites.
    Zhang Q; Yu W; Han K; Nandi AK; Huang DS
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(5):1793-1800. PubMed ID: 32960766
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A single ChIP-seq dataset is sufficient for comprehensive analysis of motifs co-occurrence with MCOT package.
    Levitsky V; Zemlyanskaya E; Oshchepkov D; Podkolodnaya O; Ignatieva E; Grosse I; Mironova V; Merkulova T
    Nucleic Acids Res; 2019 Dec; 47(21):e139. PubMed ID: 31750523
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Collaborative Completion of Transcription Factor Binding Profiles via Local Sensitive Unified Embedding.
    Zhu L; Guo WL; Lu C; Huang DS
    IEEE Trans Nanobioscience; 2016 Dec; 15(8):946-958. PubMed ID: 27845669
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MEME-ChIP: motif analysis of large DNA datasets.
    Machanick P; Bailey TL
    Bioinformatics; 2011 Jun; 27(12):1696-7. PubMed ID: 21486936
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Inferring intra-motif dependencies of DNA binding sites from ChIP-seq data.
    Eggeling R; Roos T; Myllymäki P; Grosse I
    BMC Bioinformatics; 2015 Nov; 16():375. PubMed ID: 26552868
    [TBL] [Abstract][Full Text] [Related]  

  • 9. DiscMLA: An Efficient Discriminative Motif Learning Algorithm over High-Throughput Datasets.
    Zhang H; Zhu L; Huang DS
    IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(6):1810-1820. PubMed ID: 27164602
    [TBL] [Abstract][Full Text] [Related]  

  • 10. On the detection and refinement of transcription factor binding sites using ChIP-Seq data.
    Hu M; Yu J; Taylor JM; Chinnaiyan AM; Qin ZS
    Nucleic Acids Res; 2010 Apr; 38(7):2154-67. PubMed ID: 20056654
    [TBL] [Abstract][Full Text] [Related]  

  • 11. abc4pwm: affinity based clustering for position weight matrices in applications of DNA sequence analysis.
    Ali O; Farooq A; Yang M; Jin VX; Bjørås M; Wang J
    BMC Bioinformatics; 2022 Mar; 23(1):83. PubMed ID: 35240993
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Improving analysis of transcription factor binding sites within ChIP-Seq data based on topological motif enrichment.
    Worsley Hunt R; Mathelier A; Del Peso L; Wasserman WW
    BMC Genomics; 2014 Jun; 15(1):472. PubMed ID: 24927817
    [TBL] [Abstract][Full Text] [Related]  

  • 13. ChIPulate: A comprehensive ChIP-seq simulation pipeline.
    Datta V; Hannenhalli S; Siddharthan R
    PLoS Comput Biol; 2019 Mar; 15(3):e1006921. PubMed ID: 30897079
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Tree-based position weight matrix approach to model transcription factor binding site profiles.
    Bi Y; Kim H; Gupta R; Davuluri RV
    PLoS One; 2011; 6(9):e24210. PubMed ID: 21912677
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Unified Analysis of Multiple ChIP-Seq Datasets.
    Ma G; Babarinde IA; Zhuang Q; Hutchins AP
    Methods Mol Biol; 2021; 2198():451-465. PubMed ID: 32822050
    [TBL] [Abstract][Full Text] [Related]  

  • 16. LMMO: A Large Margin Approach for Refining Regulatory Motifs.
    Zhu L; Zhang HB; Huang DS
    IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(3):913-925. PubMed ID: 28391205
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Discovering DNA shape motifs with multiple DNA shape features: generalization, methods, and validation.
    Chen N; Yu J; Liu Z; Meng L; Li X; Wong KC
    Nucleic Acids Res; 2024 May; 52(8):4137-4150. PubMed ID: 38572749
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Non-targeted transcription factors motifs are a systemic component of ChIP-seq datasets.
    Worsley Hunt R; Wasserman WW
    Genome Biol; 2014 Jul; 15(7):412. PubMed ID: 25070602
    [TBL] [Abstract][Full Text] [Related]  

  • 19. FisherMP: fully parallel algorithm for detecting combinatorial motifs from large ChIP-seq datasets.
    Zhang S; Liang Y; Wang X; Su Z; Chen Y
    DNA Res; 2019 Jun; 26(3):231-242. PubMed ID: 30957858
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An algorithmic perspective of de novo cis-regulatory motif finding based on ChIP-seq data.
    Liu B; Yang J; Li Y; McDermaid A; Ma Q
    Brief Bioinform; 2018 Sep; 19(5):1069-1081. PubMed ID: 28334268
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.