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Literature DB >> 12596794

On estimating P values by the Monte Carlo method.

Warren J Ewens.

Abstract

Mesh：

Year: 2003 PMID： 12596794 PMCID： PMC529334 DOI： 10.1086/346174

Source DB: PubMed Journal: Am J Hum Genet ISSN： 0002-9297 Impact factor: 11.025

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1 in total

1. A note on the calculation of empirical P values from Monte Carlo procedures.

Authors: B V North; D Curtis; P C Sham
Journal: Am J Hum Genet Date: 2002-08 Impact factor: 11.025

1 in total

11 in total

1. A powerful strategy to account for multiple testing in the context of haplotype analysis.

Authors: Tim Becker; Michael Knapp
Journal: Am J Hum Genet Date: 2004-07-30 Impact factor: 11.025

2. A multimetric approach to analysis of genome-wide association by single markers and composite likelihood.

Authors: Jane Gibson; William Tapper; David Cox; Weihua Zhang; Arne Pfeufer; Christian Gieger; H-Erich Wichmann; Stefan Kääb; Andrew R Collins; Thomas Meitinger; Newton Morton
Journal: Proc Natl Acad Sci U S A Date: 2008-02-11 Impact factor: 11.205

3. A transcriptome-proteome integrated network identifies endoplasmic reticulum thiol oxidoreductase (ERp57) as a hub that mediates bone metastasis.

Authors: Naiara Santana-Codina; Rafael Carretero; Rebeca Sanz-Pamplona; Teresa Cabrera; Emre Guney; Baldo Oliva; Philippe Clezardin; Omar E Olarte; Pablo Loza-Alvarez; Andrés Méndez-Lucas; Jose Carlos Perales; Angels Sierra
Journal: Mol Cell Proteomics Date: 2013-04-26 Impact factor: 5.911

On estimating P values by the Monte Carlo method.

1. A note on the calculation of empirical P values from Monte Carlo procedures.

1. A powerful strategy to account for multiple testing in the context of haplotype analysis.

2. A multimetric approach to analysis of genome-wide association by single markers and composite likelihood.

3. A transcriptome-proteome integrated network identifies endoplasmic reticulum thiol oxidoreductase (ERp57) as a hub that mediates bone metastasis.

4. Identification of cancer driver genes based on nucleotide context.

5. Discovering What Dimensionality Reduction Really Tells Us About RNA-Seq Data.

6. High-density genomewide linkage analysis of exceptional human longevity identifies multiple novel loci.

7. Do stacked species distribution models reflect altitudinal diversity patterns?

8. Comprehensive network of miRNA-induced intergenic interactions and a biological role of its core in cancer.

9. Cumulative prognostic power of laminin genes in colorectal cancer.

10. Demarcating geographic regions using community detection in commuting networks with significant self-loops.