Visual data mining in intrinsic hierarchical complex biodata

Author: Christian W. Martin
Edition:
Binding: Paperback
ISBN: 3838109791

Visual data mining in intrinsic hierarchical complex biodata: Novel approaches for analyzing gene expression data in biomedicine and sequence data in metagenomics

Complex biological data is characterized by a high dimensionality, multi-modality, missing values and noisiness, making its analysis a challenging task. Get Visual data mining in intrinsic hierarchical complex biodata computer books for free.
Complex data consists of primary data - the core data - produced by a modern high-throughput technology, and secondary data, a collection of all kinds of respective supplementary data and background knowledge. Furthermore, biological data often has an intrinsic hierarchical structure, e.g. species in the Tree of Life. In this book, novel visual data mining approaches for the analysis of gene expression data in biomedicine and for sequence data in metagenomics are presented. To support the analysis of gene expression data, a Tree Index is developed for external validation of hierarchical clustering Check Visual data mining in intrinsic hierarchical complex biodata our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.

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Complex data consists of primary data - the core data - produced by a modern high-throughput technology, and secondary data, a collection of all kinds of respective supplementary data and background knowledge. Furthermore, biological data often has an intrinsic hierarchical structure, e.g. species in the Tree of Life To support the analysis of gene expression data, a Tree Index is developed for external validation of hierarchical clustering

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