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Journal Abstract Search

127 related items for PubMed ID: 21603179

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  • 2. ConGEMs: Condensed Gene Co-Expression Module Discovery Through Rule-Based Clustering and Its Application to Carcinogenesis.
    Mallik S, Zhao Z.
    Genes (Basel); 2017 Dec 28; 9(1):. PubMed ID: 29283433
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  • 3. 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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  • 4. High confidence rule mining for microarray analysis.
    McIntosh T, Chawla S.
    IEEE/ACM Trans Comput Biol Bioinform; 2007 Oct 14; 4(4):611-623. PubMed ID: 17975272
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  • 5. Novel symmetry-based gene-gene dissimilarity measures utilizing Gene Ontology: Application in gene clustering.
    Acharya S, Saha S, Pradhan P.
    Gene; 2018 Dec 30; 679():341-351. PubMed ID: 30184472
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  • 6. RANWAR: rank-based weighted association rule mining from gene expression and methylation data.
    Mallik S, Mukhopadhyay A, Maulik U.
    IEEE Trans Nanobioscience; 2015 Jan 30; 14(1):59-66. PubMed ID: 25265613
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  • 7. 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 Jan 30; 10(4):e0119448. PubMed ID: 25830807
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  • 12. DQB: A novel dynamic quantitive classification model using artificial bee colony algorithm with application on gene expression profiles.
    Alshamlan HM.
    Saudi J Biol Sci; 2018 Jul 30; 25(5):932-946. PubMed ID: 30108444
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  • 14. Representative distance: a new similarity measure for class discovery from gene expression data.
    Yu Z, You J, Li L, Wong HS, Han G.
    IEEE Trans Nanobioscience; 2012 Dec 30; 11(4):341-51. PubMed ID: 22893451
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  • 15. CARSVM: a class association rule-based classification framework and its application to gene expression data.
    Kianmehr K, Alhajj R.
    Artif Intell Med; 2008 Sep 30; 44(1):7-25. PubMed ID: 18586476
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  • 16. A systematic comparison of genome-scale clustering algorithms.
    Jay JJ, Eblen JD, Zhang Y, Benson M, Perkins AD, Saxton AM, Voy BH, Chesler EJ, Langston MA.
    BMC Bioinformatics; 2012 Jun 25; 13 Suppl 10(Suppl 10):S7. PubMed ID: 22759431
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  • 17. Using GO-WAR for mining cross-ontology weighted association rules.
    Agapito G, Cannataro M, Guzzi PH, Milano M.
    Comput Methods Programs Biomed; 2015 Jul 25; 120(2):113-22. PubMed ID: 25921876
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  • 18. A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue.
    Chen Z, Li J, Wei L.
    Artif Intell Med; 2007 Oct 25; 41(2):161-75. PubMed ID: 17851055
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  • 19. Analyzing microarray data using quantitative association rules.
    Georgii E, Richter L, Rückert U, Kramer S.
    Bioinformatics; 2005 Sep 01; 21 Suppl 2():ii123-9. PubMed ID: 16204090
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