Your Waterstones card is changing, introducing...
TELL ME MORE
Big Data in Omics and Imaging: Association Analysis - Chapman & Hall/CRC Mathematical and Computational Biology (Hardback)
  • Big Data in Omics and Imaging: Association Analysis - Chapman & Hall/CRC Mathematical and Computational Biology (Hardback)
zoom

Big Data in Omics and Imaging: Association Analysis - Chapman & Hall/CRC Mathematical and Computational Biology (Hardback)

(author)
£92.00
Hardback 668 Pages / Published: 01/12/2017
  • We can order this

Usually despatched within 2 weeks

  • This item has been added to your basket

Big Data in Omics and Imaging: Association Analysis 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.

FEATURES

Bridges 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

Provides tools for high dimensional data reduction

Discusses searching algorithms for model and variable selection including randomization algorithms, Proximal methods and matrix subset selection

Provides real-world examples and case studies

Will have an accompanying website with R code


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.

Publisher: Taylor & Francis Inc
ISBN: 9781498725781
Number of pages: 668
Weight: 1610 g
Dimensions: 254 x 178 mm

You may also be interested in...

An African Love Story
Added to basket
On the Origin of Species
Added to basket
The Greatest Show on Earth
Added to basket
We Are Our Brains
Added to basket
How to Pass Higher Biology
Added to basket
£11.99   £9.99
Paperback
The Sixth Extinction
Added to basket
£10.99
Paperback
Scottish Wild Flowers
Added to basket
The Origin of Species
Added to basket
The Tale of the Duelling Neurosurgeons
Added to basket
Creation
Added to basket
£9.99
Paperback
Mind Change
Added to basket
£9.99
Paperback
On Natural Selection
Added to basket
The Master and His Emissary
Added to basket
The Autistic Brain
Added to basket

Reviews

Please sign in to write a review

Your review has been submitted successfully.