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Items: 1 to 20 of 75

1.
2.

False discoveries and models for gene discovery.

van den Oord EJ, Sullivan PF.

Trends Genet. 2003 Oct;19(10):537-42.

PMID:
14550627
3.

Controlling the proportion of false positives in multiple dependent tests.

Fernando RL, Nettleton D, Southey BR, Dekkers JC, Rothschild MF, Soller M.

Genetics. 2004 Jan;166(1):611-9.

4.

Stratified false discovery control for large-scale hypothesis testing with application to genome-wide association studies.

Sun L, Craiu RV, Paterson AD, Bull SB.

Genet Epidemiol. 2006 Sep;30(6):519-30.

PMID:
16800000
5.

Finding co-mutated genes and candidate cancer genes in cancer genomes by stratified false discovery rate control.

Wang J, Zhang Y, Shen X, Zhu J, Zhang L, Zou J, Guo Z.

Mol Biosyst. 2011 Apr;7(4):1158-66. doi: 10.1039/c0mb00211a. Epub 2011 Jan 28.

PMID:
21279201
6.

Quantifying the amount of missing information in genetic association studies.

Nicolae DL.

Genet Epidemiol. 2006 Dec;30(8):703-17.

PMID:
16986163
7.

Using linkage genome scans to improve power of association in genome scans.

Roeder K, Bacanu SA, Wasserman L, Devlin B.

Am J Hum Genet. 2006 Feb;78(2):243-52. Epub 2006 Jan 3.

8.

A multipoint method for detecting genotyping errors and mutations in sibling-pair linkage data.

Douglas JA, Boehnke M, Lange K.

Am J Hum Genet. 2000 Apr;66(4):1287-97. Epub 2000 Mar 28.

9.

Detecting positive selection from genome scans of linkage disequilibrium.

Huff CD, Harpending HC, Rogers AR.

BMC Genomics. 2010 Jan 5;11:8. doi: 10.1186/1471-2164-11-8.

10.

Controlling false discoveries in genetic studies.

van den Oord EJ.

Am J Med Genet B Neuropsychiatr Genet. 2008 Jul 5;147B(5):637-44. Review.

PMID:
18092307
11.

Avoiding false discoveries in association studies.

Sabatti C.

Methods Mol Biol. 2007;376:195-211. Review.

PMID:
17984547
12.

SNiPer-HD: improved genotype calling accuracy by an expectation-maximization algorithm for high-density SNP arrays.

Hua J, Craig DW, Brun M, Webster J, Zismann V, Tembe W, Joshipura K, Huentelman MJ, Dougherty ER, Stephan DA.

Bioinformatics. 2007 Jan 1;23(1):57-63. Epub 2006 Oct 24.

13.

Genotype determination for polymorphisms in linkage disequilibrium.

Yu Z, Garner C, Ziogas A, Anton-Culver H, Schaid DJ.

BMC Bioinformatics. 2009 Feb 20;10:63. doi: 10.1186/1471-2105-10-63.

14.

Analytical correction for multiple testing in admixture mapping.

Sha Q, Zhang X, Zhu X, Zhang S.

Hum Hered. 2006;62(2):55-63. Epub 2006 Oct 12. Review.

PMID:
17047335
15.

Designing genome-wide association studies: sample size, power, imputation, and the choice of genotyping chip.

Spencer CC, Su Z, Donnelly P, Marchini J.

PLoS Genet. 2009 May;5(5):e1000477. doi: 10.1371/journal.pgen.1000477. Epub 2009 May 15.

16.
17.

On reliable discovery of molecular signatures.

Nilsson R, Björkegren J, Tegnér J.

BMC Bioinformatics. 2009 Jan 29;10:38. doi: 10.1186/1471-2105-10-38.

19.

Identifying disease polymorphisms from case-control genetic association data.

Park L.

Genetica. 2010 Dec;138(11-12):1147-59. doi: 10.1007/s10709-010-9505-5. Epub 2010 Oct 14.

PMID:
20949309
20.

Insights into recombination from patterns of linkage disequilibrium in humans.

Ptak SE, Voelpel K, Przeworski M.

Genetics. 2004 May;167(1):387-97.

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