Calza S - 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: calza s. Sci Rep. 2019 Mar 25;9(1):5064. doi: 10.1038/s41598-019-41294-y. Sci Rep. 2019. PMID: 30911020 Free PMC article.

2

Multidimensional local false discovery rate for microarray studies.

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

3

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. Breast Cancer Res. 2006;8(4):R34. doi: 10.1186/bcr1517. Breast Cancer Res. 2006. PMID: 16846532 Free PMC article.

4

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: calza s. Genes Chromosomes Cancer. 2007 Jan;46(1):87-97. doi: 10.1002/gcc.20392. Genes Chromosomes Cancer. 2007. PMID: 17044045

5

Estimation of false discovery proportion under general dependence.

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

6

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

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

7

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

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

8

Filtering genes to improve sensitivity in oligonucleotide microarray data analysis.

Calza S, Raffelsberger W, Ploner A, Sahel J, Leveillard T, Pawitan Y. Calza S, et al. Nucleic Acids Res. 2007;35(16):e102. doi: 10.1093/nar/gkm537. Epub 2007 Aug 15. Nucleic Acids Res. 2007. PMID: 17702762 Free PMC article.

9

Normalization of oligonucleotide arrays based on the least-variant set of genes.

Calza S, Valentini D, Pawitan Y. Calza S, et al. BMC Bioinformatics. 2008 Mar 5;9:140. doi: 10.1186/1471-2105-9-140. BMC Bioinformatics. 2008. PMID: 18318917 Free PMC article.

10

Unequal group variances in microarray data analyses.

Demissie M, Mascialino B, Calza S, Pawitan Y. Demissie M, et al. Among authors: calza s. Bioinformatics. 2008 May 1;24(9):1168-74. doi: 10.1093/bioinformatics/btn100. Epub 2008 Mar 14. Bioinformatics. 2008. PMID: 18344518

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