Nantilus
Computational Intelligence Methods for Bioinformatics and Biostatistics : 8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 July 2, 2011, Revised Selected Papers
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...
Enregistré dans:
| Auteurs principaux : | , , , |
|---|---|
| Format : | Livre |
| Langue : | anglais |
| Titre complet : | Computational Intelligence Methods for Bioinformatics and Biostatistics : 8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 July 2, 2011, Revised Selected Papers / edited by Elia Biganzoli, Alfredo Vellido, Federico Ambrogi, Roberto Tagliaferri. |
| Publié : |
Berlin, Heidelberg :
Springer Berlin Heidelberg
, 2012 Cham : Springer Nature |
| Collection : | Lecture notes in bioinformatics (Online) |
| Accès en ligne : |
Accès Nantes Université
Accès direct soit depuis les campus via le réseau ou le wifi eduroam soit à distance avec un compte @etu.univ-nantes.fr ou @univ-nantes.fr |
| Sujets : | |
| Documents associés : | Autre format:
Computational Intelligence Methods for Bioinformatics and Biostatistics Autre format: Computational Intelligence Methods for Bioinformatics and Biostatistics |
- 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
- 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 b 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
- Solving Biclustering with a GRASP-Like Metaheuristic: Two Case-Studies on Gene ExpressionAnalysis.