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  • Produktbild: Computational Intelligence Methods for Bioinformatics and Biostatistics
  • Produktbild: Computational Intelligence Methods for Bioinformatics and Biostatistics
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Computational Intelligence Methods for Bioinformatics and Biostatistics 10th International Meeting, CIBB 2013, Nice, France, June 20-22, 2013, Revised Selected Papers

Aus der Reihe Lecture Notes in Computer Science

Fr. 71.90

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

28.07.2014

Abbildungen

XIII, 275 p. 99 illus.

Herausgeber

Enrico Formenti + weitere

Verlag

Springer

Seitenzahl

275

Maße (L/B/H)

23.5/15.5/1.6 cm

Gewicht

446 g

Sprache

Englisch

ISBN

978-3-319-09041-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

28.07.2014

Abbildungen

XIII, 275 p. 99 illus.

Herausgeber

Verlag

Springer

Seitenzahl

275

Maße (L/B/H)

23.5/15.5/1.6 cm

Gewicht

446 g

Sprache

Englisch

ISBN

978-3-319-09041-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Computational Intelligence Methods for Bioinformatics and Biostatistics
  • Produktbild: Computational Intelligence Methods for Bioinformatics and Biostatistics

  • Dynamic Gaussian Graphical Models for Modelling Genomic Networks.- Molecular Docking for Drug Discovery: Machine-Learning Approaches for Native Pose Prediction of Protein-Ligand Complexes.- BioCloud Search EnGene: Surfing Biological Data on the Cloud.- Genomic Sequence Classification Using Probabilistic Topic Modeling.- Community Detection in Protein-Protein Interaction Networks Using Spectral and Graph Approaches.- Weighting Scheme Methods for Enhanced Genomic Annotation Prediction.- French Flag Tracking by Morphogenetic Simulation Under Developmental Constraints.- High–Dimensional Sparse Matched Case–Control and Case–Crossover Data: A Review of Recent Works, Description of an R Tool and an Illustration of the Use in Epidemiological Studies.- Piecewise Exponential Artificial Neural Networks (PEANN) for Modeling Hazard Function with Right Censored Data.- Writing Generation Model for Health Care Neuromuscular System Investigation.- Clusters Identification in Binary Genomic Data: The Alternative Offered by Scan Statistics Approach.- Reverse Engineering Methodology for Bioinformatics Based on Genetic Programming, Differential Expression Analysis and Other Statistical Methods.- Integration of Clinico-Pathological and microRNA Data for Intelligent Breast Cancer Relapse Prediction Systems.- Superresolution MUSIC Based on Marcenko-Pastur Limit Distribution Reduces Uncertainty and Improves DNA Gene Expression-Based Microarray Classification.- Prediction of Single-Nucleotide Polymorphisms Causative of Rare Diseases.- A Framework for Mining Life Sciences Data on the Semantic Web in an Interactive, Graph-Based Environment.- Combining Not-Proper ROC Curves and Hierarchical Clustering to Detect Differentially Expressed Genes in Microarray Experiments.- Fast and Parallel Algorithm for Population-Based Segmentation of Copy-Number Profiles.- Identification of Pathway Signatures in Parkinson’s Disease with Gene Ontology and Sparse Regularization.