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