Brooke L. Fridley, Ph.D.
Affiliations: | 2003 | Iowa State University, Ames, IA, United States |
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"Brooke Fridley"Parents
Sign in to add mentor| Philip Dixon | grad student | 2003 | Iowa State | |
| (Data augmentation for the handling of censored spatial data.) | ||||
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Publications
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| Fasching PA, Liu D, Scully S, et al. (2022) Identification of Two Genetic Loci Associated with Leukopenia after Chemotherapy in Breast Cancer Patients. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research |
| Sasamoto N, Stewart PA, Wang T, et al. (2022) Lifetime ovulatory years and ovarian cancer gene expression profiles. Journal of Ovarian Research. 15: 59 |
| Buras AL, Wang T, Whiting J, et al. (2022) Prospective Analyses of Sedentary Behavior in Relation to Risk of Ovarian Cancer. American Journal of Epidemiology |
| Reid BM, Fridley BL. (2020) DNA Methylation in Ovarian Cancer Susceptibility. Cancers. 13 |
| Mills M, Liveringhouse C, Lee F, et al. (2020) The prevalence of luminal B subtype is higher in older postmenopausal women with ER+/HER2- breast cancer and is associated with inferior outcomes. Journal of Geriatric Oncology |
| Kho PF, Amant F, Annibali D, et al. (2020) Mendelian randomization analyses suggest a role for cholesterol in the development of endometrial cancer. International Journal of Cancer |
| Oesterheld JE, Reed DR, Setty BA, et al. (2020) Phase II trial of gemcitabine and nab-paclitaxel in patients with recurrent Ewing sarcoma: A report from the National Pediatric Cancer Foundation. Pediatric Blood & Cancer. e28370 |
| Chalise P, Ni Y, Fridley BL. (2020) Network-based integrative clustering of multiple types of genomic data using non-negative matrix factorization. Computers in Biology and Medicine. 118: 103625 |
| Sasamoto N, Townsend M, Abbas-Aghababazadeh F, et al. (2020) Abstract 34: Predictors of discordance between image-based and manual scoring of immunohistochemical stains in ovarian cancer tissue microarrays Epidemiology |
| Mitchell R, Howard R, Lewis P, et al. (2020) Abstract 2101: Deep learning for automatic extraction of tumor site and histology from unstructured pathology reports Cancer Research. 80: 2101-2101 |