Calza S - Search Results

1

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

2

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.

3

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

4

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

5

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.

6

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.

7

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.

8

Normalization of gene-expression microarray data.

Calza S, Pawitan Y. Calza S, et al. Methods Mol Biol. 2010;673:37-52. doi: 10.1007/978-1-60761-842-3_3. Methods Mol Biol. 2010. PMID: 20835791

9

Integration of somatic mutation, expression and functional data reveals potential driver genes predictive of breast cancer survival.

Suo C, Hrydziuszko O, Lee D, Pramana S, Saputra D, Joshi H, Calza S, Pawitan Y. Suo C, et al. Among authors: calza s. Bioinformatics. 2015 Aug 15;31(16):2607-13. doi: 10.1093/bioinformatics/btv164. Epub 2015 Mar 24. Bioinformatics. 2015. PMID: 25810432

10

Comprehensive landscape of subtype-specific coding and non-coding RNA transcripts in breast cancer.

Vu TN, Pramana S, Calza S, Suo C, Lee D, Pawitan Y. Vu TN, et al. Among authors: calza s. Oncotarget. 2016 Oct 18;7(42):68851-68863. doi: 10.18632/oncotarget.11998. Oncotarget. 2016. PMID: 27634900 Free PMC article.

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