to Genomic and Proteomic Data Analysis
Design Principles for Microarray Investigations
Pre-Processing DNA Microarray Data
Pre-Processing Mass Spectrometry Data
Visualization in Genomics and Proteomics
Clustering — Class Discovery in the Post-Genomic Era
Feature Selection and Dimensionality Reduction in Genomics and Proteomics
Resampling Strategies for Model Assessment and Selection
Classification of Genomic and Proteomic Data Using Support Vector Machines
Networks in Cell Biology
Identifying Important Explanatory Variables for Time-Varying Outcomes
Text Mining in Genomics and Proteomics.