| ID | 359567 |
| Call Number | 610.15195 X7B |
| Title Proper | Big data in omics and imaging |
| Other Title Information | association analysis |
| Language | ENG |
| Author | Xiong, Momiao |
| Publication | Boca Raton, CRC Press, 2018. |
| Description | xxxi:668p.+ 25.5cm. |
| Series | Chapman and Hall/CRC: mathematical and computational biology series |
| Summary / Abstract (Note) | The book is designed for graduate students and researchers in genomics, bioinformatics, and data science. It represents the paradigm shift of genetic studies of complex diseases– from shallow to deep genomic analysis, from low-dimensional to high dimensional, multivariate to functional data analysis with next-generation sequencing (NGS) data, and from homogeneous populations to heterogeneous population and pedigree data analysis. Topics covered are: advanced matrix theory, convex optimization algorithms, generalized low rank models, functional data analysis techniques, deep learning principle and machine learning methods for modern association, interaction, pathway and network analysis of rare and common variants, biomarker identification, disease risk and drug response prediction. |
| Standard Number | 978-1-4987-2578-1 |
| Price. Qualification | HB |
| Classification Number | 610.15195 |
| Key Words | Biometry - Data processing ; Imaging systems in biology - Statistical methods ; Big data - Statistical methods |