Main description:

This is a cohesive and comprehensive book on statistical omics from a biopharmaceutical perspective which focuses on presenting statistical methods, including false discovery rate for analyzing omics data in biomedical research. It is enriched with practical examples in biopharmaceutical/biomedical research. The book is written for researchers who want to get involved in omics and data analysis in biomedical research as well as for Master/Ph.D. students who want training in omics and related data analysis.

Contents:

Introduction to Statistical Omics. General Statistical Methods in Omics. Multiplicity Issue and Statistical Solutions in Omics Data. Statistical Epigenomics. Statistical Next-Generation Sequencing. Statistical Genome-Wide Association Studies. Statistical Expression Profiling. Statistical Metabolomics. Statistical Proteomics. Statistical High-Throughput Screening. Statistical High-Content Screening. Data Mining in Omics. Bayesian Methods for Next Generation Sequencing and Gwas Studies. Sensitivity and Specificity Analysis in Omics.