Computational Intelligence Methods for Bioinformatics and Biostatistics
Springer Berlin (Verlag)
978-3-642-35685-8 (ISBN)
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 beta 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.
Erscheint lt. Verlag | 22.11.2012 |
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Reihe/Serie | Lecture Notes in Bioinformatics | Lecture Notes in Computer Science |
Zusatzinfo | XVI, 270 p. 92 illus. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 444 g |
Themenwelt | Informatik ► Software Entwicklung ► User Interfaces (HCI) |
Mathematik / Informatik ► Informatik ► Theorie / Studium | |
Schlagworte | Algorithm analysis and problem complexity • biomolecular databases • combinatorial optimization • Gene expression analysis • machine learning • Protein sequence |
ISBN-10 | 3-642-35685-0 / 3642356850 |
ISBN-13 | 978-3-642-35685-8 / 9783642356858 |
Zustand | Neuware |
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