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Journal Abstract Search

340 related items for PubMed ID: 26467206

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  • 2. Strong-association-rule mining for large-scale gene-expression data analysis: a case study on human SAGE data.
    Becquet C, Blachon S, Jeudy B, Boulicaut JF, Gandrillon O.
    Genome Biol; 2002; 3(12):RESEARCH0067. PubMed ID: 12537556
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  • 4. High confidence rule mining for microarray analysis.
    McIntosh T, Chawla S.
    IEEE/ACM Trans Comput Biol Bioinform; 2007; 4(4):611-623. PubMed ID: 17975272
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  • 7. 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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  • 8. A multi-Poisson dynamic mixture model to cluster developmental patterns of gene expression by RNA-seq.
    Ye M, Wang Z, Wang Y, Wu R.
    Brief Bioinform; 2015 Mar 01; 16(2):205-15. PubMed ID: 24817567
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  • 11. GeneAnalytics: An Integrative Gene Set Analysis Tool for Next Generation Sequencing, RNAseq and Microarray Data.
    Ben-Ari Fuchs S, Lieder I, Stelzer G, Mazor Y, Buzhor E, Kaplan S, Bogoch Y, Plaschkes I, Shitrit A, Rappaport N, Kohn A, Edgar R, Shenhav L, Safran M, Lancet D, Guan-Golan Y, Warshawsky D, Shtrichman R.
    OMICS; 2016 Mar 01; 20(3):139-51. PubMed ID: 26983021
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  • 12. Integrated analyses to reconstruct microRNA-mediated regulatory networks in mouse liver using high-throughput profiling.
    Hsu SD, Huang HY, Chou CH, Sun YM, Hsu MT, Tsou AP.
    BMC Genomics; 2015 Mar 01; 16 Suppl 2(Suppl 2):S12. PubMed ID: 25707768
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  • 13. Finding rule groups to classify high dimensional gene expression datasets.
    An J, Chen YP.
    Comput Biol Chem; 2009 Feb 01; 33(1):108-13. PubMed ID: 18815072
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  • 14. Detecting discordance enrichment among a series of two-sample genome-wide expression data sets.
    Lai Y, Zhang F, Nayak TK, Modarres R, Lee NH, McCaffrey TA.
    BMC Genomics; 2017 Jan 25; 18(Suppl 1):1050. PubMed ID: 28198679
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  • 15. A Hypothesis Testing Based Method for Normalization and Differential Expression Analysis of RNA-Seq Data.
    Zhou Y, Wang G, Zhang J, Li H.
    PLoS One; 2017 Jan 25; 12(1):e0169594. PubMed ID: 28072846
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  • 16. Gene expression analysis in clear cell renal cell carcinoma using gene set enrichment analysis for biostatistical management.
    Maruschke M, Reuter D, Koczan D, Hakenberg OW, Thiesen HJ.
    BJU Int; 2011 Jul 25; 108(2 Pt 2):E29-35. PubMed ID: 21435154
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  • 18. Efficient mining differential co-expression biclusters in microarray datasets.
    Wang M, Shang X, Li X, Liu W, Li Z.
    Gene; 2013 Apr 10; 518(1):59-69. PubMed ID: 23276708
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  • 19. Hierarchical gene selection and genetic fuzzy system for cancer microarray data classification.
    Nguyen T, Khosravi A, Creighton D, Nahavandi S.
    PLoS One; 2015 Apr 10; 10(3):e0120364. PubMed ID: 25823003
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