Big Data in Omics and Imaging: Association Analysis (Chapman & Hall/CRC Mathematical and Computational Biology)
| Author | : | |
| Rating | : | 4.33 (631 Votes) |
| Asin | : | 1498725783 |
| Format Type | : | paperback |
| Number of Pages | : | 560 Pages |
| Publish Date | : | 2017-08-27 |
| Language | : | English |
DESCRIPTION:
Goals of this book are to develop unified frameworks, basic knowledge and efficient computational tools for analyzing growing large, complex and diverse genomic, epigenomic, physiological and image data. The emerging genomic, epigenomic, sensing and image technologies will produce a deluge of unprecedentedly massive and highly-dimensional genomic, epigenomic, physiological, image and clinical data. The book is designed to introduce the currently developed statistical methods and software for big genomic and epigenomic data analysis with real-world examples and case studies.