Individualizing care for ovarian cancer patients using big data

Affiliations

¹ Affiliations of authors: Department of Biostatistics (BLF, DK) and Department of Pathology and Laboratory Medicine (AKG), University of Kansas Medical Center, and University of Kansas Cancer Center (BLF, DK, AKG), Kansas City, KS. bfridley@kumc.edu.
² Affiliations of authors: Department of Biostatistics (BLF, DK) and Department of Pathology and Laboratory Medicine (AKG), University of Kansas Medical Center, and University of Kansas Cancer Center (BLF, DK, AKG), Kansas City, KS.

Editorial

Brooke L Fridley et al. J Natl Cancer Inst. 2014.

. 2014 Apr 3;106(5):dju080.

doi: 10.1093/jnci/dju080.

¹ Affiliations of authors: Department of Biostatistics (BLF, DK) and Department of Pathology and Laboratory Medicine (AKG), University of Kansas Medical Center, and University of Kansas Cancer Center (BLF, DK, AKG), Kansas City, KS. bfridley@kumc.edu.
² Affiliations of authors: Department of Biostatistics (BLF, DK) and Department of Pathology and Laboratory Medicine (AKG), University of Kansas Medical Center, and University of Kansas Cancer Center (BLF, DK, AKG), Kansas City, KS.

Erratum in

J Natl Cancer Inst. 2014 Aug;106(8):dju234 doi:10.1093/jnci/dju234. Devin C. Koeslter [corrected to Devin C. Koestler]

No abstract available

Comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer.
Waldron L, Haibe-Kains B, Culhane AC, Riester M, Ding J, Wang XV, Ahmadifar M, Tyekucheva S, Bernau C, Risch T, Ganzfried BF, Huttenhower C, Birrer M, Parmigiani G. Waldron L, et al. J Natl Cancer Inst. 2014 Apr 3;106(5):dju049. doi: 10.1093/jnci/dju049. J Natl Cancer Inst. 2014. PMID: 24700801 Free PMC article.