Human Genome Epidemiology Literature Finder
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Records 1 - 14 (of 14 Records) |
| Query Trace: Learning and BRCA1[original query] |
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| Psychological impact of receiving a BRCA1/BRCA2 test result. American journal of medical genetics 2001 Jan 98 (1): 15-24. Lodder L, Frets P G, Trijsburg R W, Meijers-Heijboer E J, Klijn J G, Duivenvoorden H J, Tibben A, Wagner A, van der Meer C A, van den Ouweland A M, Niermeijer M |
| Accommodating risk: responses to BRCA1/2 genetic testing of women who have had cancer. Social science & medicine (1982) 2004 Aug 59 (3): 553-65. Hallowell N, Foster C, Eeles R, Ardern-Jones A, Watson |
| Complementary medicine use before and 1 year following genetic testing for BRCA1/2 mutations. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 2006 1 15 (1): 70-5. Digianni Lisa M, Rue Montserrat, Emmons Karen, Garber Judy |
| Prediction of BRCA1 germ-line mutation status in patients with breast cancer using histoprognosis grade, MS110, Lys27H3, vimentin, and KI67. Pathobiology : journal of immunopathology, molecular and cellular biology 2013 80 (5): 219-27. Hassanein Mohamed, Huiart Laetitia, Bourdon Violaine, Rabayrol Laetitia, Geneix Jeanine, Nogues Catherine, Peyrat Jean Philippe, Gesta Paul, Meynard Paule, Dreyfus Helene, Petrot Dominique, Lidereau Rosette, Noguchi Tetsuro, Eisinger François, Extra Jean Marc, Viens Patrice, Jacquemier Jocelyne, Sobol Hag |
| Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammograms. Journal of medical imaging (Bellingham, Wash.) 2017 9 4 (4): 041304. Li Hui, Giger Maryellen L, Huynh Benjamin Q, Antropova Natalia |
| College Women's Responses to a Celebrity Health Disclosure. Health communication 2017 8 33 (10): 1302-1307. Drizin Julia H, Malcarne Vanessa L, Schiaffino Melody K, Wells Kristen |
| Risk-reducing mastectomy rates in the US: a closer examination of the Angelina Jolie effect. Breast cancer research and treatment 2018 5 171 (2): 435-442. Liede Alexander, Cai Mona, Crouter Tamara Fidler, Niepel Daniela, Callaghan Fiona, Evans D Gare |
| Detecting the mutational signature of homologous recombination deficiency in clinical samples. Nature genetics 2019 4 51 (5): 912-919. Gulhan Doga C, Lee Jake June-Koo, Melloni Giorgio E M, Cortés-Ciriano Isidro, Park Peter |
| Secondary Somatic Mutations in G-Protein-Related Pathways and Mutation Signatures in Uveal Melanoma. Cancers 2019 Oct 11 (11): . Piaggio Francesca, Tozzo Veronica, Bernardi Cinzia, Croce Michela, Puzone Roberto, Viaggi Silvia, Patrone Serena, Barla Annalisa, Coviello Domenico, Jager Martine J, van der Velden Pieter A, Zeschnigk Michael, Cangelosi Davide, Eva Alessandra, Pfeffer Ulrich, Amaro Adria |
| Genetic characterization of pancreatic cancer patients and prediction of carrier status of germline pathogenic variants in cancer-predisposing genes. EBioMedicine 2020 9 60 103033. Mizukami Keijiro, Iwasaki Yusuke, Kawakami Eiryo, Hirata Makoto, Kamatani Yoichiro, Matsuda Koichi, Endo Mikiko, Sugano Kokichi, Yoshida Teruhiko, Murakami Yoshinori, Nakagawa Hidewaki, Spurdle Amanda B, Momozawa Yukihi |
| Optimized detection of homologous recombination deficiency improves the prediction of clinical outcomes in cancer. NPJ precision oncology 2022 12 6 (1): 96. Perez-Villatoro Fernando, Oikkonen Jaana, Casado Julia, Chernenko Anastasiya, Gulhan Doga C, Tumiati Manuela, Li Yilin, Lavikka Kari, Hietanen Sakari, Hynninen Johanna, Haltia Ulla-Maija, Tyrmi Jaakko S, Laivuori Hannele, Konstantinopoulos Panagiotis A, Hautaniemi Sampsa, Kauppi Liisa, Färkkilä Annii |
| Predicting BRCA mutation and stratifying targeted therapy response using multimodal learning: a multicenter study. Annals of medicine 2024 9 56 (1): 2399759. Yi Li, Xiaomin Xiong, Xiaohua Liu, Mengke Xu, Boping Yang, Xiaoju Li, Yu Li, Bo Lin, Bo |
| Real-world evaluation of deep learning algorithms to classify functional pathogenic germline variants. medRxiv : the preprint server for health sciences 2024 4 . Ryan D Chow, Ravi B Parikh, Katherine L Nathans |
| Phenotypic evaluation of deep learning models for classifying germline variant pathogenicity. NPJ precision oncology 2024 10 8 (1): 235. Ryan D Chow, Katherine L Nathanson, Ravi B Pari |
- Page last reviewed:Feb 1, 2024
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