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Journal Abstract Search

149 related items for PubMed ID: 12537556

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  • 2. Dynamic association rules for gene expression data analysis.
    Chen SC, Tsai TH, Chung CH, Li WH.
    BMC Genomics; 2015 Oct 14; 16():786. PubMed ID: 26467206
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  • 3. Mining gene expression data for positive and negative co-regulated gene clusters.
    Ji L, Tan KL.
    Bioinformatics; 2004 Nov 01; 20(16):2711-8. PubMed ID: 15145808
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  • 5. Mining gene expression databases for association rules.
    Creighton C, Hanash S.
    Bioinformatics; 2003 Jan 01; 19(1):79-86. PubMed ID: 12499296
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  • 10. DTFP-Growth: Dynamic Threshold-Based FP-Growth Rule Mining Algorithm Through Integrating Gene Expression, Methylation, and Protein-Protein Interaction Profiles.
    Mallik S, Bhadra T, Mukherji A, Mallik S, Bhadra T, Mukherji A, Mallik S, Bhadra T, Mukherji A.
    IEEE Trans Nanobioscience; 2018 Apr 01; 17(2):117-125. PubMed ID: 29870335
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  • 11. A seriation approach for visualization-driven discovery of co-expression patterns in Serial Analysis of Gene Expression (SAGE) data.
    Morozova O, Morozov V, Hoffman BG, Helgason CD, Marra MA.
    PLoS One; 2008 Sep 12; 3(9):e3205. PubMed ID: 18787709
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  • 14. Identification of temporal association rules from time-series microarray data sets.
    Nam H, Lee K, Lee D.
    BMC Bioinformatics; 2009 Mar 19; 10 Suppl 3(Suppl 3):S6. PubMed ID: 19344482
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  • 15. Mining subspace clusters from DNA microarray data using large itemset techniques.
    Chang YI, Chen JR, Tsai YC.
    J Comput Biol; 2009 May 19; 16(5):745-68. PubMed ID: 19432542
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  • 17. A hierarchical clustering algorithm for MIMD architecture.
    Du Z, Lin F.
    Comput Biol Chem; 2004 Dec 19; 28(5-6):417-9. PubMed ID: 15556483
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  • 19. Comparative analysis of multiple genome-scale data sets.
    Werner-Washburne M, Wylie B, Boyack K, Fuge E, Galbraith J, Weber J, Davidson G.
    Genome Res; 2002 Oct 19; 12(10):1564-73. PubMed ID: 12368249
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