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Computational Intelligence Methods for Bioinformatics and Biostatistics - Clelia DI Serio; Pietro Liò; Alessandro Nonis; Roberto Tagliaferri
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Computer Science; Computational Biology/Bioinformatics; Pattern Recognition; Data Mining and Knowledge Discovery; Computation by Abstract Devices; Image Processing and Computer Vision; Al… Plus…

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Clelia DI Serio; Pietro Liò; Alessandro Nonis; Roberto Tagliaferri:

Computational Intelligence Methods for Bioinformatics and Biostatistics - nouveau livre

2014, ISBN: 9783319244624

This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIB… Plus…

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2014

ISBN: 9783319244624

Computational Intelligence Methods for Bioinformatics and Biostatistics:11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014, Revised Selected Papers Computational Intel… Plus…

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Computational Intelligence Methods for Bioinformatics and Biostatistics - nouveau livre

2014, ISBN: 9783319244624

11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014, Revised Selected Papers 11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014, Revised Selected Pa… Plus…

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Computational Intelligence Methods for Bioinformatics and Biostatistics
Auteur:
Titre:
ISBN:

9783319244624

Informations détaillées sur le livre - Computational Intelligence Methods for Bioinformatics and Biostatistics


EAN (ISBN-13): 9783319244624
Date de parution: 2014
Editeur: Springer Science+Business Media

Livre dans la base de données depuis 2016-12-11T23:06:48+01:00 (Paris)
Page de détail modifiée en dernier sur 2019-06-15T20:28:59+02:00 (Paris)
ISBN/EAN: 9783319244624

ISBN - Autres types d'écriture:
978-3-319-24462-4
Autres types d'écriture et termes associés:
Auteur du livre: tagliaferri roberto, clelia nau

Données de l'éditeur

Auteur: Clelia DI Serio; Pietro Liò; Alessandro Nonis; Roberto Tagliaferri
Titre: Lecture Notes in Computer Science; Lecture Notes in Bioinformatics; Computational Intelligence Methods for Bioinformatics and Biostatistics - 11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014, Revised Selected Papers
Editeur: Springer; Springer International Publishing
314 Pages
Date de parution: 2015-09-25
Cham; CH
Langue: Anglais
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XIII, 314 p. 90 illus. in color.

EA; E107; eBook; Nonbooks, PBS / Biologie/Sonstiges; DV-gestützte Biologie/Bioinformatik; Verstehen; evolutionary algorithms; gene ontology; image analysis; machine learning; parallel computing; association rule mining; clustering; feature selection; fuzzy clustering; metabolic pathways; modularity; multi-objective optimization; network analysis; optimization; protein structure; regularization; semantic similarity; systems biology; text mining; weighted association rules; C; Computational and Systems Biology; Automated Pattern Recognition; Data Mining and Knowledge Discovery; Theory of Computation; Computer Vision; Algorithms; Computer Science; Mustererkennung; Data Mining; Wissensbasierte Systeme, Expertensysteme; Theoretische Informatik; Maschinelles Sehen, Bildverstehen; Algorithmen und Datenstrukturen; BC

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.

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.


Includes supplementary material: sn.pub/extras

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