(Q34269179)

1 August 2017

title

A two-stage random forest-based pathway analysis method (English)

1 reference

1 August 2017

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1 reference

Ren-Hua Chung

1

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1 August 2017

Ying-Erh Chen

series ordinal

2

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1 August 2017

language of work or name

English

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publication date

7 May 2012

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1 August 2017

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1 August 2017

volume

7

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1 August 2017

issue

5

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1 August 2017

page(s)

e36662

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Creative Commons Attribution 4.0 International

1 August 2017

copyright license

start time

7 May 2012

1 reference

April 2022 Public Data File from Crossref

copyright status

copyrighted

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cites work

Insights into colon cancer etiology via a regularized approach to gene set analysis of GWAS data

1 reference

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

6 July 2018

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A screening methodology based on Random Forests to improve the detection of gene-gene interactions

6 July 2018

1 reference

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Pathway analysis of GWAS provides new insights into genetic susceptibility to 3 inflammatory diseases

6 July 2018

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Gene ontology analysis of GWA study data sets provides insights into the biology of bipolar disorder

6 July 2018

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Detecting gene-gene interactions that underlie human diseases

6 July 2018

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Performance of random forest when SNPs are in linkage disequilibrium.

6 July 2018

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Diverse genome-wide association studies associate the IL12/IL23 pathway with Crohn Disease

6 July 2018

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Pathway analysis of seven common diseases assessed by genome-wide association

6 July 2018

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Aminoacyl tRNA synthetases and their connections to disease

6 July 2018

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Pathway-based approaches for analysis of genomewide association studies

6 July 2018

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6 July 2018

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6 July 2018

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A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer

6 July 2018

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Powerful multilocus tests of genetic association in the presence of gene-gene and gene-environment interactions

6 July 2018

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Human lysyl-tRNA synthetase is secreted to trigger proinflammatory response

6 July 2018

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

6 July 2018

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The American Cancer Society Cancer Prevention Study II Nutrition Cohort: rationale, study design, and baseline characteristics

6 July 2018

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6 July 2018

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Pathway analysis using random forests classification and regression

6 July 2018

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Pathway analysis of single-nucleotide polymorphisms potentially associated with glioblastoma multiforme susceptibility using random forests.

21 January 2018

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Genetic polymorphisms in cell cycle regulatory genes MDM2 and TP53 are associated with susceptibility to lung cancer.

21 January 2018

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Identifying SNPs predictive of phenotype using random forests

21 January 2018

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Association of a functional polymorphism in the promoter of the MDM2 gene with risk of nonsmall cell lung cancer

21 January 2018

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PubMed

https://pubmed.ncbi.nlm.nih.gov/22586488

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Random Forests

1 reference

Astrophysics Data System

15 December 2022

https://ui.adsabs.harvard.edu/abs/2001MachL..45....5B/citations

Identifiers

DOI

10.1371/JOURNAL.PONE.0036662

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1 August 2017

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1 August 2017

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