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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): Material type: TextTextLanguage: English Series: Lecture Notes in Computer Science ; 8623Publication details: Cham : Springer International Publishing, 2015.Edition: 1st ed. 2015Description: 1 online resource (XIII, 314 p. 90 ill. in color.)ISBN:
  • 9783319244624
Subject(s): Online resources:
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.
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Item type Current library Call number Materials specified Status Date due Barcode Item holds
Books Books National Library of India Available EBK000025463ENG
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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.

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