Data Mining for Systems Biology

Chapter 1 Dense Module Enumeration in Biological Networks

Chapter 2 Discovering Interacting Domains and Motifs in Protein–Protein Interactions

Chapter 3 Global alignment of protein-protein interaction networks.

Chapter 4 Structure learning for bayesian networks as models of biological networks.

Chapter 5 Supervised Inference of Gene Regulatory Networks from Positive and Unlabeled Examples

Chapter 6 Mining regulatory network connections by ranking transcription factor target genes using time series expression data.

Chapter 7 Identifying Pathways of Coordinated Gene Expression

Chapter 8 Data Mining for Systems Biology

Chapter 9 Chemogenomic approaches to infer drug-target interaction networks.

Chapter 10 Localization prediction and structure-based in silico analysis of bacterial proteins: with emphasis on outer membrane proteins.

Chapter 11 Analysis Strategy of Protein–Protein Interaction Networks

Chapter 12 Data Mining in the MetaCyc Family of Pathway Databases

Chapter 13 Gene Set/Pathway Enrichment Analysis

Chapter 14 Construction of Functional Linkage Gene Networks by Data Integration

Chapter 15 Genome-Wide Association Studies

Chapter 16 Viral Genome Analysis and Knowledge Management

Chapter 17 Molecular Network Analysis of Diseases and Drugs in KEGG.