Home » Gene-Environment Interaction Analysis
Product Image

Gene-Environment Interaction Analysis

€122.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
Age Group_Uncategorized
Age Group_Uncategorized
automatic-update
B01=Sumiko Anno
biostatistical modeling
Blood Concentration
candidate
Category1=Non-Fiction
Category=PSAK
chronic disease risk
complex
Complex Chronic Diseases
Complex Diseases
COP=Singapore
Cryptic Species
Delivery_Delivery within 10-20 working days
Detecting Gene Environment Interactions
dimensionality
disequilibrium
DNA Variant
E2 E4
East Asian Population
East Asian Subjects
environmental adaptation
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Gene Environment Interaction Analysis
Genome SNP
Health Checkups
High Molecular Weight Adiponectin
Human Skin Pigmentation
Information Theoretic Metrics
integrated gene environment research methods
interactions
Language_English
linkage
MDR
Molecular Epidemiologic Approach
molecular epidemiology
multifactor
PA=Available
phenotype analysis
Plasma Homocysteine Concentration
polymorphisms
Price_€100 and above
PS=Active
reduction
Regional Epidemiological
single-nucleotide
Skin Color Variation
SNP Allele
softlaunch
Spatial Statistical Approach
statistical genetics
Stochastic Factors
Tt Type
UVR Level

Product details

  • ISBN 9789814669634
  • Weight: 448g
  • Dimensions: 152 x 229mm
  • Publication Date: 06 Apr 2016
  • Publisher: Pan Stanford Publishing Pte Ltd
  • Publication City/Country: SG
  • Product Form: Hardback
  • Language: English
Secure checkout Fast Shipping Easy returns
Description

Gene–environment (G × E) interaction analysis is a statistical method for clarifying G × E interactions applicable to a phenotype or a disease that is the result of interactions between genes and the environment. This book is the first to deal with the theme of G × E interaction analysis. It compiles and details cutting-edge research in bioinformatics and computational biology and will appeal to anyone involved in bioinformatics and computational biology.
About

Sumiko Anno is currently an associate professor at the Shibaura Institute of Technology. She investigates public health issues using genetic engineering, remote sensing, and geographic information systems technologies. Dr. Anno established gene–environment (G × E) interaction analysis, which is used in a variety of scientific applications. In recent decades, there has been a great deal of scientific interest in her work on combining micro- and macro-information obtained from molecular, biological, and ecological studies. Her achievements have been rated highly, and she has received several awards from institutes in Japan and abroad.