Pawitan Y - Search Results

1

CREDO: Highly confident disease-relevant A-to-I RNA-editing discovery in breast cancer.

Hwang W, Calza S, Silvestri M, Pawitan Y, Lee Y. Hwang W, et al. Among authors: pawitan y. Sci Rep. 2019 Mar 25;9(1):5064. doi: 10.1038/s41598-019-41294-y. Sci Rep. 2019. PMID: 30911020 Free PMC article.

2

Robust ascertainment-adjusted parameter estimation.

Noh M, Lee Y, Pawitan Y. Noh M, et al. Among authors: pawitan y. Genet Epidemiol. 2005 Jul;29(1):68-75. doi: 10.1002/gepi.20078. Genet Epidemiol. 2005. PMID: 15892092

3

Multicomponent variance estimation for binary traits in family-based studies.

Noh M, Yip B, Lee Y, Pawitan Y. Noh M, et al. Among authors: pawitan y. Genet Epidemiol. 2006 Jan;30(1):37-47. doi: 10.1002/gepi.20099. Genet Epidemiol. 2006. PMID: 16265627

4

Multidimensional local false discovery rate for microarray studies.

Ploner A, Calza S, Gusnanto A, Pawitan Y. Ploner A, et al. Among authors: pawitan y. Bioinformatics. 2006 Mar 1;22(5):556-65. doi: 10.1093/bioinformatics/btk013. Epub 2005 Dec 20. Bioinformatics. 2006. PMID: 16368770

5

Intrinsic molecular signature of breast cancer in a population-based cohort of 412 patients.

Calza S, Hall P, Auer G, Bjöhle J, Klaar S, Kronenwett U, Liu ET, Miller L, Ploner A, Smeds J, Bergh J, Pawitan Y. Calza S, et al. Among authors: pawitan y. Breast Cancer Res. 2006;8(4):R34. doi: 10.1186/bcr1517. Breast Cancer Res. 2006. PMID: 16846532 Free PMC article.

6

Gene expression in 16q is associated with survival and differs between Sørlie breast cancer subtypes.

Wennmalm K, Calza S, Ploner A, Hall P, Bjöhle J, Klaar S, Smeds J, Pawitan Y, Bergh J. Wennmalm K, et al. Among authors: pawitan y. Genes Chromosomes Cancer. 2007 Jan;46(1):87-97. doi: 10.1002/gcc.20392. Genes Chromosomes Cancer. 2007. PMID: 17044045

7

Estimation of false discovery proportion under general dependence.

Pawitan Y, Calza S, Ploner A. Pawitan Y, et al. Bioinformatics. 2006 Dec 15;22(24):3025-31. doi: 10.1093/bioinformatics/btl527. Epub 2006 Oct 17. Bioinformatics. 2006. PMID: 17046978

8

Detecting differential expression in microarray data: comparison of optimal procedures.

Perelman E, Ploner A, Calza S, Pawitan Y. Perelman E, et al. Among authors: pawitan y. BMC Bioinformatics. 2007 Jan 26;8:28. doi: 10.1186/1471-2105-8-28. BMC Bioinformatics. 2007. PMID: 17257426 Free PMC article.

9

Identification of differentially expressed genes and false discovery rate in microarray studies.

Gusnanto A, Calza S, Pawitan Y. Gusnanto A, et al. Among authors: pawitan y. Curr Opin Lipidol. 2007 Apr;18(2):187-93. doi: 10.1097/MOL.0b013e3280895d6f. Curr Opin Lipidol. 2007. PMID: 17353668 Review.

10

Genetic mixed linear models for twin survival data.

Ha ID, Lee Y, Pawitan Y. Ha ID, et al. Among authors: pawitan y. Behav Genet. 2007 Jul;37(4):621-30. doi: 10.1007/s10519-007-9150-7. Epub 2007 Mar 31. Behav Genet. 2007. PMID: 17401640

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