Big Data in Omics and Imaging - Association Analysis

The text provides unified frameworks, basic knowledge and efficient computational tools for analyzing growing large, complex and diverse genomic, epigenomic, physiological and image data. It introduces currently developed statistical methods and software for big genomic and epigenomic data analysis with real-world examples and case studies.

List of contents

Mathematical Foundation. Linkage Disequilibrium. Association Studies for Qualitative Traits. Association Studies for Quantitative Traits. Multiple Phenotype Association Studies.

About the author

Momiao Xiong, is a professor in the Department of Biostatistics, University of Texas School of Public Health, and a regular member in the Genetics & Epigenetics (G&E) Graduate Program at The University of Texas MD Anderson Cancer Center, UTHealth Graduate School of Biomedical Science.

Summary

The text provides unified frameworks, basic knowledge and efficient computational tools for analyzing growing large, complex and diverse genomic, epigenomic, physiological and image data. It introduces currently developed statistical methods and software for big genomic and epigenomic data analysis with real-world examples and case studies.

Product details

• Authors: Momiao Xiong, Momiao (University of Texas School of Publi Xiong, Momiao (University of Texas School of Public Health Xiong, Xiong Momiao
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 30.06.2021
• EAN: 9781032095981
• ISBN: 978-1-0-3209598-1
• No. of pages: 700
• Series: Chapman & Hall/CRC Computational Biology Series
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; MATHEMATICS / Probability & Statistics / General, SCIENCE / Life Sciences / Biology, SCIENCE / Biotechnology, biotechnology, Biology, life sciences, Probability & statistics, Probability and statistics