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Iterative pruning PCA improves resolution of highly structured populations

Iterative pruning PCA improves resolution of highly structured populations

http://www.wikidata.org/entity/Q30908002

about

Softwares and methods for estimating genetic ancestry in human populations NetView: a high-definition network-visualization approach to detect fine-scale population structures from genome-wide patterns of variation Challenges in analysis and interpretation of microsatellite data for population genetic studies Study of large and highly stratified population datasets by combining iterative pruning principal component analysis and structure SHIPS: Spectral Hierarchical clustering for the Inference of Population Structure in genetic studies.Insight into the peopling of Mainland Southeast Asia from Thai population genetic structure HaploPOP: a software that improves population assignment by combining markers into haplotypes.Molecular tools and analytical approaches for the characterization of farm animal genetic diversity.A comparison of DMET Plus microarray and genome-wide technologies by assessing population substructure.Nonparametric approaches for population structure analysis.

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Iterative pruning PCA improves resolution of highly structured populations

http://www.wikidata.org/entity/Q30908002

description

2009 nî lūn-bûn

@nan

2009 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած

@hyw

2009 թվականի նոյեմբերին հրատարակված գիտական հոդված

@hy

2009年の論文

@ja

2009年学术文章

@wuu

2009年学术文章

@zh-cn

2009年学术文章

@zh-hans

2009年学术文章

@zh-my

2009年学术文章

@zh-sg

2009年學術文章

@yue

name

Iterative pruning PCA improves resolution of highly structured populations

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Iterative pruning PCA improves resolution of highly structured populations

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type

label

Iterative pruning PCA improves resolution of highly structured populations

@ast

Iterative pruning PCA improves resolution of highly structured populations

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prefLabel

Iterative pruning PCA improves resolution of highly structured populations

@ast

Iterative pruning PCA improves resolution of highly structured populations

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1471-2105-10-382

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BMC Bioinformatics

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Iterative pruning PCA improves resolution of highly structured populations

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Anunchai Assawamakin

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Apichart Intarapanich

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Chumpol Ngamphiw

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Jittima Piriyapongsa

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Kridsadakorn Chaichoompu

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Philip J Shaw

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Pongsakorn Wangkumhang

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P2860

A genome-wide association study of psoriasis and psoriatic arthritis identifies new disease loci

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Recent genetic selection in the ancestral admixture of Puerto Ricans

A haplotype map of the human genome

Measuring European population stratification with microarray genotype data

Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies

Accurate inference of subtle population structure (and other genetic discontinuities) using principal coordinates

Principal components analysis corrects for stratification in genome-wide association studies

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Sissades Tongsima

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