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This book constitutes the thoroughly refereed post-proceedings of the 8th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2011, held in Gargnano del Garda, Italy, in June/July 2011. The 19 papers, presented together with 2 keynote speeches, were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections on statistical learning, genomics, computational intelligence for health at the edge, proteomics, intelligent clinical decision support systems (i-CDSS), bioinformatics, and data clustering.
Publish Date
2012
Publisher
Springer Berlin Heidelberg,
Imprint: Springer
Language
English
Pages
270
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Previews available in: English
Subjects
Pattern perception, Database management, Optical pattern recognition, Algorithm Analysis and Problem Complexity, Computation by Abstract Devices, Artificial Intelligence (incl. Robotics), Bioinformatics, Computer software, Artificial intelligence, Computer science, Biometry, Computational intelligence, Congresses, Computational Biology, Gene ExpressionEdition | Availability |
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1
Computational Intelligence Methods for Bioinformatics and Biostatistics: 8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 – July 2, 2011, Revised Selected Papers
2012, Springer Berlin Heidelberg, Imprint: Springer
electronic resource :
in English
3642356869 9783642356865
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2
Computational Intelligence Methods for Bioinformatics and Biostatistics: 8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 - ...
Nov 22, 2012, Springer
paperback
3642356850 9783642356858
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Book Details
Table of Contents
Modelling the Effect of Genes on the Dynamics of Probabilistic Spiking Neural Networks for Computational Neurogenetic
Biostatistics Meets Bioinformatics in Integrating Information from Highdimensional Heterogeneous Genomic Data: Two Examples from Rare Genetic Diseases and Infectious Diseases
Bayesian Models for the Multi-sample Time-Course Microarray Experiments
A Machine Learning Pipeline for Discriminant Pathways Identification
Discovering Hidden Pathways in Bioinformatics
Reliability of miRNA Microarray Platforms: An Approach Based on Random Effects Linear Models
A Bioinformatics Procedure to Identify and Annotate Somatic Mutations in Whole-Exome Sequencing Data
Feature Selection for the Prediction and Visualization of Brain Tumor Types Using Proton Magnetic Resonance Spectroscopy Data
On the Use of Graphical Models to Study ICU Outcome Prediction in Septic Patients Treated with Statins
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Integration of Biomolecular Interaction Data in a Genomic and Proteomic Data Warehouse to Support Biomedical Knowledge Discovery
Machine-Learning Methods to Predict Protein Interaction Sites in Folded Proteins
Complementing Kernel-Based Visualization of Protein Sequences with Their Phylogenetic Tree
DEEN: A Simple and Fast Algorithm for Network Community Detection
Self-similarity in Physiological Time Series: New Perspectives from the Temporal Spectrum of Scale Exponents
Support Vector Machines for Survival Regression
Boosted C5 Trees i-Biomarkers Panel for Invasive Bladder Cancer Progression Prediction
A Faster Algorithm for Motif Finding in Sequences from ChIP-Seq Data
Case/Control Prediction from Illumina Methylation Microarray’s β and Two-Color Channels in the Presence of Batch Effects
Supporting the Design, Communication and Management of Bioinformatic Protocols through the Leaf Tool
Genomic Annotation Prediction Based on Integrated Information
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Solving Biclustering with a GRASP-Like Metaheuristic: Two Case-Studies on Gene Expression Analysis.
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