Open Access
| Issue |
E3S Web Conf.
Volume 185, 2020
2020 International Conference on Energy, Environment and Bioengineering (ICEEB 2020)
|
|
|---|---|---|
| Article Number | 04028 | |
| Number of page(s) | 5 | |
| Section | Chemical Engineering and Food Biotechnology | |
| DOI | https://doi.org/10.1051/e3sconf/202018504028 | |
| Published online | 01 September 2020 | |
- T. J. Key, P. K. Verkasalo, and E. Banks, “Epidemiology of breast cancer,” The lancet oncology, vol. 2, no. 3, pp. 133–140, 2001. [CrossRef] [PubMed] [Google Scholar]
- L. A. Carey et al., “Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study,” Jama, vol. 295, no. 21, pp. 2492–2502, 2006. [CrossRef] [PubMed] [Google Scholar]
- K. M. O’Brien et al., “Intrinsic breast tumor subtypes, race, and long-term survival in the Carolina Breast Cancer Study,” Clinical Cancer Research, vol. 16, no. 24, pp. 6100–6110, 2010. [CrossRef] [Google Scholar]
- K. R. Bauer, M. Brown, R. D. Cress, C. A. Parise, and V. Caggiano, “Descriptive analysis of estrogen receptor (ER)‐negative, progesterone receptor (PR)‐negative, and HER2‐negative invasive breast cancer, the so‐called triple‐negative phenotype: a population‐based study from the California cancer Registry,” cancer, vol. 109, no. 9, pp. 1721–1728, 2007. [CrossRef] [PubMed] [Google Scholar]
- R. Haque et al., “Impact of breast cancer subtypes and treatment on survival: an analysis spanning two decades,” Cancer Epidemiology and Prevention Biomarkers, vol. 21, no. 10, pp. 1848–1855, 2012. [CrossRef] [Google Scholar]
- S. A. Joslyn, D. H. Gesme Jr, and C. F. Lynch, “Estrogen and progesterone receptors in primary breast cancer,” The Breast Journal, vol. 2, no. 3, pp. 187–196, 1996. [Google Scholar]
- X. Ding, S.-Y. Tsang, S.-K. Ng, and H. Xue, “Application of machine learning to development of copy number variation-based prediction of cancer risk,” Genomics insights, vol. 7, p. GEI. S15002, 2014 [Google Scholar]
- M. M. Islam, R. Ajwad, C. Chi, M. Domaratzki, Y. Wang, and P. Hu, “Somatic copy number alteration- basedprediction of molecular subtypes of breast cancer using deep learning model,” in Canadian Conference on Artificial Intelligence, 2017: Springer, pp. 57–63. [Google Scholar]
- S. Kiranyaz, T. Ince, R. Hamila, and M. Gabbouj, “Convolutional neural networks for patient-specific ECG classification,” in 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015: IEEE, pp. 2608–2611. [Google Scholar]
- I. Jolliffe, Principal component analysis. Springer, 2011. [Google Scholar]
- Y. Freund, R. Schapire, and N. Abe, “A short introduction to boosting,” Journal-Japanese Society For Artificial Intelligence, vol. 14, no. 771-780, p. 1612, 1999. [Google Scholar]
- M. G. Best et al., “RNA-Seq of tumor-educated platelets enables blood-based pan-cancer, multiclass, and molecular pathway cancer diagnostics,” Cancer cell, vol. 28, no. 5, pp. 666–676, 2015. [CrossRef] [PubMed] [Google Scholar]
- N. M. Crabtree, J. H. Moore, J. F. Bowyer, and N. I.George, “Multi-class computational evolution: development, benchmark evaluation and application to RNA-Seq biomarker discovery,” BioData mining, vol. 10, no. 1, p. 13, 2017. [CrossRef] [PubMed] [Google Scholar]
- T. Nguyen, S. Nahavandi, D. Creighton, and A.Khosravi, “RNA-seq data analysis using nonparametric Gaussian process models,” in 2016 International Joint Conference on Neural Networks (IJCNN), 2016: IEEE, pp. 5087–5093. [Google Scholar]
- P. H. Williams, R. Eyles, and G. Weiller, “Plant microRNA prediction by supervised machine learning using C5. 0 decision trees,” Journal of nucleic acids, vol. 2012, 2012. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.