(Q33603699)

28 July 2017

title

An application of Random Forests to a genome-wide association dataset: methodological considerations & new findings (English)

1 reference

genome-wide association study

28 July 2017

main subject

0 references

1 reference

3

Adele Cutler

1 reference

28 July 2017

4

Lisa F Barcellos

1 reference

28 July 2017

Benjamin A Goldstein

1

1 reference

28 July 2017

Alan E Hubbard

series ordinal

2

1 reference

28 July 2017

publication date

14 June 2010

1 reference

28 July 2017

1 reference

28 July 2017

volume

11

1 reference

28 July 2017

page(s)

49

1 reference

Creative Commons Attribution 2.0 Generic

28 July 2017

copyright license

start time

14 June 2010

1 reference

April 2022 Public Data File from Crossref

copyright status

copyrighted

1 reference

April 2022 Public Data File from Crossref

cites work

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Meta-analysis of genome scans and replication identify CD6, IRF8 and TNFRSF1A as new multiple sclerosis susceptibility loci

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

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21 June 2018

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How to interpret a genome-wide association study

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21 June 2018

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Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering

21 June 2018

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Risk alleles for multiple sclerosis identified by a genomewide study

21 June 2018

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Glucocorticoids plus opioids up-regulate genes that influence neuronal function

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Multifactor dimensionality reduction: an analysis strategy for modelling and detecting gene-gene interactions in human genetics and pharmacogenomics studies

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21 June 2018

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Multiple sclerosis genetics: leaving no stone unturned

21 June 2018

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

21 June 2018

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21 June 2018

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Analysis of Multiple Single Nucleotide Polymorphisms of Candidate Genes Related to Coronary Heart Disease Susceptibility by Using Support Vector Machines

30 October 2018

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30 October 2018

1 reference

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1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/20546594

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1186/1471-2156-11-49

1 reference

Dimensions Publication ID

28 July 2017

1 reference

https://scigraph.springernature.com/pub.10.1186/1471-2156-11-49

9 September 2019

1 reference

28 July 2017

1 reference