BICLUSTERING ALGORITHMS FOR BIOLOGICAL DATA ANALYSIS A SURVEY PDF

In this comprehensive survey, we analyze a large number of existing approaches to biclustering, and classify them in accordance with the type of biclusters they. Biclustering Algorithms for. Biological Data Analysis. Sara C. Madeira and Arlindo L. Oliveira. Presentation by. Matthew Hibbs. an extensive survey on the application of co-clustering to biological data analysis [6]. Another interesting survey on biclustering algorithms is also in [7].Cheng.

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Biclustering algorithms for biological data analysis: a survey

However, the results from the application of standard clustering methods to genes are limited. Madeira and Arlindo L.

MadeiraArlindo L. A polynomial time biclustering algorithm for finding approximate expression patterns in gene expression time series SC Madeira, AL Oliveira Algorithms for Molecular Biology 4 18 From This Paper Figures, tables, and topics from this paper. This paper bkological been referenced on Twitter 1 time over the past 90 days.

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See our FAQ for additional information. The following articles are merged in Scholar. Citations Publications citing this paper. Computational Biology and Drug Design New citations to this author. References Publications referenced by this paper. Yves Moreau University of Leuven Verified email at esat. This limitation is imposed by the existence of a number of experimental conditions where the activity of genes is uncorrelated.

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