Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests (Q30898567)

13 October 2017

Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests (English)

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genome-wide association study

13 October 2017

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author name string

Thanh-Tung Nguyen

1

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13 October 2017

Joshua Huang

2

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13 October 2017

Qingyao Wu

3

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13 October 2017

Thuy Nguyen

4

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13 October 2017

Mark Li

5

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13 October 2017

language of work or name

English

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publication date

21 January 2015

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13 October 2017

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13 October 2017

16 Suppl 2

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13 October 2017

S5

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https://scigraph.springernature.com/pub.10.1186/1471-2164-16-s2-s5

13 October 2017

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cites work

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On safari to Random Jungle: a fast implementation of Random Forests for high-dimensional data

21 June 2018

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Detecting gene-gene interactions that underlie human diseases

21 June 2018

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Genetic control of human brain transcript expression in Alzheimer disease

21 June 2018

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Performance of random forest when SNPs are in linkage disequilibrium.

21 June 2018

1 reference

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Genome-wide association of early-onset myocardial infarction with single nucleotide polymorphisms and copy number variants

21 June 2018

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21 June 2018

Enriched random forests

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Classification of rheumatoid arthritis status with candidate gene and genome-wide single-nucleotide polymorphisms using random forests

21 June 2018

1 reference

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Picking single-nucleotide polymorphisms in forests

21 June 2018

1 reference

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Bias in random forest variable importance measures: illustrations, sources and a solution

21 June 2018

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Genome-wide genotyping in Parkinson's disease and neurologically normal controls: first stage analysis and public release of data

21 June 2018

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A tutorial on statistical methods for population association studies

21 June 2018

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Gene selection and classification of microarray data using random forest.

21 June 2018

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Screening large-scale association study data: exploiting interactions using random forests

21 June 2018

1 reference

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Epistasis: what it means, what it doesn't mean, and statistical methods to detect it in humans

21 June 2018

1 reference

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Selecting SNPs in two-stage analysis of disease association data: a model-free approach

21 June 2018

1 reference

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A map of human genome sequence variation containing 1.42 million single nucleotide polymorphisms

21 June 2018

1 reference

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Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

21 June 2018

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Genome-wide strategies for detecting multiple loci that influence complex diseases.

21 January 2018

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Evaluating the ability of tree-based methods and logistic regression for the detection of SNP-SNP interaction.

21 January 2018

1 reference

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Identifying SNPs predictive of phenotype using random forests

21 January 2018

1 reference

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10.1186/1471-2164-16-S2-S5

21 January 2018

Identifiers

DOI

1 reference

journals/bmcgenomics/NguyenHWNL15

13 October 2017

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DBLP Dataset 2021-01-02

Dimensions Publication ID

28 January 2021

1 reference

9 September 2019

https://scigraph.springernature.com/pub.10.1186/1471-2164-16-s2-s5

1 reference

13 October 2017

1 reference