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Journal Abstract Search

127 related items for PubMed ID: 24616651

  • 1.
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  • 2. SiBIC: A Tool for Generating a Network of Biclusters Captured by Maximal Frequent Itemset Mining.
    Takahashi KI, duVerle DA, Yotsukura S, Takigawa I, Mamitsuka H.
    Methods Mol Biol; 2018; 1807():95-111. PubMed ID: 30030806
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  • 3. A biclustering algorithm for extracting bit-patterns from binary datasets.
    Rodriguez-Baena DS, Perez-Pulido AJ, Aguilar-Ruiz JS.
    Bioinformatics; 2011 Oct 01; 27(19):2738-45. PubMed ID: 21824973
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  • 4. Analyzing large gene expression and methylation data profiles using StatBicRM: statistical biclustering-based rule mining.
    Maulik U, Mallik S, Mukhopadhyay A, Bandyopadhyay S.
    PLoS One; 2015 Oct 01; 10(4):e0119448. PubMed ID: 25830807
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  • 5. Discovery of error-tolerant biclusters from noisy gene expression data.
    Gupta R, Rao N, Kumar V.
    BMC Bioinformatics; 2011 Nov 24; 12 Suppl 12(Suppl 12):S1. PubMed ID: 22168285
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  • 9. A primer to frequent itemset mining for bioinformatics.
    Naulaerts S, Meysman P, Bittremieux W, Vu TN, Vanden Berghe W, Goethals B, Laukens K.
    Brief Bioinform; 2015 Mar 24; 16(2):216-31. PubMed ID: 24162173
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  • 10. Graph-based biomedical text summarization: An itemset mining and sentence clustering approach.
    Nasr Azadani M, Ghadiri N, Davoodijam E.
    J Biomed Inform; 2018 Aug 24; 84():42-58. PubMed ID: 29906584
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  • 11. Expectation Maximization of Frequent Patterns, a Specific, Local, Pattern-Based Biclustering Algorithm for Biological Datasets.
    Moore EJ, Bourlai T.
    IEEE/ACM Trans Comput Biol Bioinform; 2016 Aug 24; 13(5):812-824. PubMed ID: 26701897
    [Abstract] [Full Text] [Related]

  • 12. An evaluation study of biclusters visualization techniques of gene expression data.
    Aouabed H, Elloumi M, Santamaría R.
    J Integr Bioinform; 2021 Oct 27; 18(4):. PubMed ID: 34699698
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  • 13. Quantifying the informativeness for biomedical literature summarization: An itemset mining method.
    Moradi M, Ghadiri N.
    Comput Methods Programs Biomed; 2017 Jul 27; 146():77-89. PubMed ID: 28688492
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  • 14. Gracob: a novel graph-based constant-column biclustering method for mining growth phenotype data.
    Alzahrani M, Kuwahara H, Wang W, Gao X.
    Bioinformatics; 2017 Aug 15; 33(16):2523-2531. PubMed ID: 28379298
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  • 15. A novel association rule mining approach using TID intermediate itemset.
    Aqra I, Herawan T, Abdul Ghani N, Akhunzada A, Ali A, Bin Razali R, Ilahi M, Raymond Choo KK.
    PLoS One; 2018 Aug 15; 13(1):e0179703. PubMed ID: 29351287
    [Abstract] [Full Text] [Related]

  • 16. Application of biclustering algorithm in adverse drug reaction monitoring system of China.
    Zhu T, Zhang Y, Ye X, Hou Y, Liu J, Shi W, Xu J, Guo X, He J.
    Pharmacoepidemiol Drug Saf; 2018 Nov 15; 27(11):1257-1264. PubMed ID: 30232823
    [Abstract] [Full Text] [Related]

  • 17. COSCEB: Comprehensive search for column-coherent evolution biclusters and its application to hub gene identification.
    Maind A, Raut S.
    J Biosci; 2019 Jun 15; 44(2):. PubMed ID: 31180061
    [Abstract] [Full Text] [Related]

  • 18. Integrating biological knowledge based on functional annotations for biclustering of gene expression data.
    Nepomuceno JA, Troncoso A, Nepomuceno-Chamorro IA, Aguilar-Ruiz JS.
    Comput Methods Programs Biomed; 2015 May 15; 119(3):163-80. PubMed ID: 25843807
    [Abstract] [Full Text] [Related]

  • 19. Biclustering algorithms for biological data analysis: a survey.
    Madeira SC, Oliveira AL.
    IEEE/ACM Trans Comput Biol Bioinform; 2004 May 15; 1(1):24-45. PubMed ID: 17048406
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  • 20. Mining subspace clusters from DNA microarray data using large itemset techniques.
    Chang YI, Chen JR, Tsai YC.
    J Comput Biol; 2009 May 15; 16(5):745-68. PubMed ID: 19432542
    [Abstract] [Full Text] [Related]

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