{"product_id":"big-data-in-omics-and-imaging-association-analysis-9781498725781","title":"Big Data in Omics and Imaging: Association Analysis","description":"\u003cp\u003e • Author(s): Momiao Xiong\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBig Data in Omics and Imaging: Association Analysis\u003c\/strong\u003e addresses the recent development of association analysis and machine learning for both population and family genomic data in sequencing era. It is unique in that it presents both hypothesis testing and a data mining approach to holistically dissecting the genetic structure of complex traits and to designing efficient strategies for precision medicine. The general frameworks for association analysis and machine learning, developed in the text, can be applied to genomic, epigenomic and imaging data.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFEATURES\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eBridges the gap between the traditional statistical methods and computational tools for small genetic and epigenetic data analysis and the modern advanced statistical methods for big data\u003c\/p\u003e\u003cp\u003eProvides tools for high dimensional data reduction\u003c\/p\u003e\u003cp\u003eDiscusses searching algorithms for model and variable selection including randomization algorithms, Proximal methods and matrix subset selection\u003c\/p\u003e\u003cp\u003eProvides real-world examples and case studies\u003c\/p\u003e\u003cp\u003eWill have an accompanying website with R code\u003c\/p\u003e\u003cp\u003eThe 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.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Hardcover","offer_id":45238738518167,"sku":"9781498725781","price":11876.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781498725781.webp?v=1769220615","url":"https:\/\/atlanticbooks.com\/products\/big-data-in-omics-and-imaging-association-analysis-9781498725781","provider":"Atlantic Books","version":"1.0","type":"link"}