Amanote Research

Amanote Research

    RegisterSign In

Quantification of Population Structure Using Correlated SNPs by Shrinkage Principal Components

Human Heredity - Switzerland
doi 10.1159/000288706
Full Text
Open PDF
Abstract

Available in full text

Categories
Genetics
Date

January 1, 2010

Authors
Fei ZouSeunggeun LeeMichael R. KnowlesFred A. Wright
Publisher

S. Karger AG


Related search

Figure 2: Population Structure Suggested by STRUCTURE and Discriminant Analysis of Principal Components.

English

Principal Components Regression by Using Generalized Principal Components Analysis

JOURNAL OF THE JAPAN STATISTICAL SOCIETY
2013English

PCA-Correlated SNPs for Structure Identification in Worldwide Human Populations

PLoS Genetics
EvolutionEcologyGeneticsMolecular BiologyCancer ResearchSystematicsBehavior
2007English

Dietary Patterns Obtained Through Principal Components Analysis: The Effect of Input Variable Quantification

British Journal of Nutrition
MedicineNutritionDietetics
2012English

SNPs Reveal Geographical Population Structure of Corallina Officinalis (Corallinaceae, Rhodophyta)

European Journal of Phycology
Plant ScienceAquatic Science
2018English

Accurate Inference of Subtle Population Structure (And Other Genetic Discontinuities) Using Principal Coordinates

PLoS ONE
Multidisciplinary
2009English

Tests of Association for Quantitative Traits in Nuclear Families Using Principal Components to Correct for Population Stratification

Annals of Human Genetics
Genetics
2009English

Functional Principal Components

English

Variational Principal Components

1999English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy