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Computational Intelligence Methods for Bioinformatics and Biostatistics: 11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014, Revised Selected Papers de Clelia DI Serio

Computational Intelligence Methods for Bioinformatics and Biostatistics: 11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014, Revised Selected Papers: Lecture Notes in Computer Science, cartea 8623

Editat de Clelia DI Serio, Pietro Liò, Alessandro Nonis, Roberto Tagliaferri
en Limba Engleză Paperback – 18 noi 2015
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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Specificații

ISBN-13: 9783319244617
ISBN-10: 3319244612
Pagini: 314
Ilustrații: XIII, 314 p. 90 illus. in color.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 0.47 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Bioinformatics

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

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.

Caracteristici

Includes supplementary material: sn.pub/extras