A comprehensive genetic approach for improving prediction of skin cancer risk in humans. - Wikidata - awgldk - TriplyDB

A comprehensive genetic approach for improving prediction of skin cancer risk in humans.

A comprehensive genetic approach for improving prediction of skin cancer risk in humans.

http://www.wikidata.org/entity/Q36439842

about

Effect of genotype imputation on genome-enabled prediction of complex traits: an empirical study with mice data.Genomic-enabled prediction with classification algorithms.Prediction of years of life after diagnosis of breast cancer using omics and omic-by-treatment interactions.Poly-omic prediction of complex traits: OmicKriging.Genome-wide regression and prediction with the BGLR statistical package.A life history perspective on skin cancer and the evolution of skin pigmentation.Genomic prediction of complex human traits: relatedness, trait architecture and predictive meta-models.Genome-enabled prediction of quantitative traits in chickens using genomic annotation.Germline variation in cancer-susceptibility genes in a healthy, ancestrally diverse cohort: implications for individual genome sequencing.Integrated genomic and BMI analysis for type 2 diabetes risk assessment.Accuracy of whole-genome prediction using a genetic architecture-enhanced variance-covariance matrix Assessment of whole-genome regression for type II diabetes.Genomic Prediction Accounting for Residual Heteroskedasticity.Explicit Modeling of Ancestry Improves Polygenic Risk Scores and BLUP Prediction Joint prediction of multiple quantitative traits using a Bayesian multivariate antedependence model.Priors in whole-genome regression: the bayesian alphabet returns Increased Proportion of Variance Explained and Prediction Accuracy of Survival of Breast Cancer Patients with Use of Whole-Genome Multiomic Profiles.Whole genome prediction and heritability of childhood asthma phenotypes Kernel-based variance component estimation and whole-genome prediction of pre-corrected phenotypes and progeny tests for dairy cow health traits.Predicted Residual Error Sum of Squares of Mixed Models: An Application for Genomic Prediction.Genetics and nonmelanoma skin cancer in kidney transplant recipients.Cross-Validation Without Doing Cross-Validation in Genome-Enabled Prediction.Bayesian Variable Selection in Multilevel Item Response Theory Models with Application in Genomics.Next generation modeling in GWAS: comparing different genetic architectures.Will Big Data Close the Missing Heritability Gap?

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A comprehensive genetic approach for improving prediction of skin cancer risk in humans.

http://www.wikidata.org/entity/Q36439842

description

2012 nî lūn-bûn

@nan

2012年の論文

@ja

2012年学术文章

@wuu

2012年学术文章

@zh-cn

2012年学术文章

@zh-hans

2012年学术文章

@zh-my

2012年学术文章

@zh-sg

2012年學術文章

@yue

2012年學術文章

@zh

2012年學術文章

@zh-hant

name

A comprehensive genetic approach for improving prediction of skin cancer risk in humans.

@ast

A comprehensive genetic approach for improving prediction of skin cancer risk in humans.

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type

label

A comprehensive genetic approach for improving prediction of skin cancer risk in humans.

@ast

A comprehensive genetic approach for improving prediction of skin cancer risk in humans.

@en

prefLabel

A comprehensive genetic approach for improving prediction of skin cancer risk in humans.

@ast

A comprehensive genetic approach for improving prediction of skin cancer risk in humans.

@en

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GENETICS.112.141705

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P1476

A comprehensive genetic approach for improving prediction of skin cancer risk in humans.

@en

P2093

Ana I Vazquez

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Daniel Gianola

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Guilherme J M Rosa

http://www.w3.org/2001/XMLSchema#string

Gustavo de los Campos

http://www.w3.org/2001/XMLSchema#string

Nengjun Yi

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P2860

Data and theory point to mainly additive genetic variance for complex traits

Finding the missing heritability of complex diseases

Genes mirror geography within Europe

Common polygenic variation contributes to risk of schizophrenia and bipolar disorder

Heritability of Threshold Characters.

Common SNPs explain a large proportion of the heritability for human height

ROCR: visualizing classifier performance in R

Genetic dissection of complex traits

Prediction of total genetic value using genome-wide dense marker maps

Discerning the ancestry of European Americans in genetic association studies

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1493-1502

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scholarly article

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10.1534/GENETICS.112.141705

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4

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David B. Allison

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2012-10-10T00:00:00Z

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232228408

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23051645

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3512154

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