Multivariate Biomarker Discovery - Data Science Methods for Efficient Analysis of High-Dimensional Biomedical Data

This concise book for scientists and students interested in bioinformatics and data science covers all aspects of predictive modeling for biomarker discovery based on high-dimensional data, as well as modern data science methods for identification of parsimonious and robust multivariate biomarkers for medical diagnosis and personalized medicine.