Data analysis in visualization in genomics and proteomics /edited by Francisco Azuaje and Joaquin Dopazo. --John Wiley, 2005. -- (58.1481/D232) |
Contents
Contents:
1. Integrative data analysis and visualization: introduction to critical problems, goals and challenges 3
2. Biological databases: ingrastructure, content and integration 11
3. Data and predictive model integration: an overview of key concepts, problems and solutions 29
4. Applications of text mining in molecular biology, from name recognition to protein interaction maps 43
5. protein interaction by integrating genomic features and protein interaction network analysis 61
6. Integration of genomic and phenotypic data 83
7. Ontologies and functional genomics 99
8. The C. elegans interactome: its generation and visualization 113
9. Integrated approaches for bioinformatic data analysis and visualization – challenges, opportunities and new solutions 137
10. Advances in cluster analysis of microarray data 153
11. Unsupervised machine learning to support functional characterization of genes: emphasis on cluster description and class discovery175
12. Supervised methods with genomic data: a review and cautionary view 193
13. A guide to the literature on inferring genetic networks by probabilistic graphical models 215
14. Integrative models for the prediction and understanding of protein structure patterns 239