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Computational Intelligence Methods for Bioinformatics and Biostatistics [electronic resource] : 11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014, Revised Selected Papers / edited by Clelia DI Serio, Pietro Liò, Alessandro Nonis, Roberto Tagliaferri.

Contributor(s): DI Serio, Clelia [editor.] | Liò, Pietro [editor.] | Nonis, Alessandro [editor.] | Tagliaferri, Roberto [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Bioinformatics: 8623Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Edition: 1st ed. 2015.Description: XIII, 314 p. 90 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319244624.Subject(s): Bioinformatics | Pattern recognition systems | Data mining | Computer science | Computer vision | Algorithms | Computational and Systems Biology | Automated Pattern Recognition | Data Mining and Knowledge Discovery | Theory of Computation | Computer Vision | AlgorithmsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 570.285 | 570.113 Online resources: Click here to access online
Contents:
GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations -- Extended Spearman and Kendall Coefficients for Gene Annotation List Correlation -- Statistical analysis of protein structural features: relationships and PCA grouping -- Consensus Clustering in Gene Expression -- Automated Detection of Fluorescent Probes in Molecular Imaging -- Applications of network-based survival analysis methods for pathways detection in cancer -- A New Feature Selection methodology for K-mers representation of DNA sequences -- The General Regression Neural Network to Classify Barcode and mini-barcode DNA -- Computational pipeline to annotate transcripts and assembled reads from RNA-Seq data -- Application of a New Ridge Estimator of the Inverse Covariance Matrix to the Reconstruction of Gene-Gene Interaction Networks.
In: Springer Nature eBookSummary: This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2014, held in Cambridge, UK, in June 2014. The 25 revised full papers presented were carefully reviewed and selected from 44 submissions. The papers focus problems concerning computational techniques in bioinformatics, systems biology, medical informatics and biostatistics.
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GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations -- Extended Spearman and Kendall Coefficients for Gene Annotation List Correlation -- Statistical analysis of protein structural features: relationships and PCA grouping -- Consensus Clustering in Gene Expression -- Automated Detection of Fluorescent Probes in Molecular Imaging -- Applications of network-based survival analysis methods for pathways detection in cancer -- A New Feature Selection methodology for K-mers representation of DNA sequences -- The General Regression Neural Network to Classify Barcode and mini-barcode DNA -- Computational pipeline to annotate transcripts and assembled reads from RNA-Seq data -- Application of a New Ridge Estimator of the Inverse Covariance Matrix to the Reconstruction of Gene-Gene Interaction Networks.

This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2014, held in Cambridge, UK, in June 2014. The 25 revised full papers presented were carefully reviewed and selected from 44 submissions. The papers focus problems concerning computational techniques in bioinformatics, systems biology, medical informatics and biostatistics.

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