Buch, Englisch, 630 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 955 g
Buch, Englisch, 630 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 955 g
Reihe: Springer Handbooks of Computational Statistics
ISBN: 978-3-642-26827-4
Verlag: Springer
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
Weitere Infos & Material
I: Accuracy Assessment of Consensus Sequence from Shotgun Sequencing.- Statistical and Computational Studies on Alternative Splicing.- Using Sequence Information to Predict TF-DNA Binding.- Computational Promoter Prediction in a Vertebrate Genome.- Discovering Influential Variables: A General Computer Intensive Method for Common Genetic Disorders.- STORMSeq: A Method for Ranking Regulatory Sequences by Integrating Experimental Datasets with Diverse Computational Predictions.- Mixture Tree Construction and Its Applications.- II: Experimental Designs and ANOVA for Microarray Data.- MAQC and Cross Platform Analysis of Microarray Data.- A Survey of Classification Techniques for Microarray Analysis.- Statistical Analysis of Single Nucleotide Polymorphism Microarrays in Cancer Studies.- Computational Analysis of ChIP-chip Data.- eQTL Mapping for Functional Classes of Saccharomyces Cerevisiae Genes with Multivariate Sparse Partial Least Squares Regression.- Analysis of Time Course Data.- III: Kernel Methods in Bioinformatics.- Graph Classification Methods in Chemoinformatics.- Hidden Markov Random Field Models for Network-based Analysis of Genomic Data.- Review of Weighted Gene Coexpression Network Analysis.- Liquid Association.- Boolean Networks.- Protein Interaction Networks: Protein Domain Interaction and Protein Function Prediction.- Regulatory Networks.- Inferring Signaling and Gene Regulatory Network from Genetic and Genomic Information.- Computational Drug Target Pathway Discovery: A Bayesian Network Approach.- Cancer Systems Biology.- Comparative Genomics and Molecular Evolution.- Robust Control of Immune Systems under Noises: Stochastic Game Approach.