Multi-category multi-state information ensemble-based classification method for precise diagnosis of three cancers
Author:
Funder
Changsha Key R&D Program
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06211-3.pdf
Reference33 articles.
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3. Wang M, Klevebring D, Lindberg J, Czene K, Grönberg H, Rantalainen M (2016) Determining breast cancer histological grade from RNA-sequencing data. Breast Cancer Res 1:48. https://doi.org/10.1186/s13058-016-0710-8
4. Salem H, Attiya G, El-Fishawy N (2016) Classification of human cancer diseases by gene expression profiles. Appl Soft Comput 50:124–134. https://doi.org/10.1016/j.asoc.2016.11.026
5. Wang Y, Wang D, Geng N, Wang Y, Yin Y, Jin Y (2019) Stacking-based ensemble learning of decision trees for interpretable prostate cancer detection. Appl Soft Comput 77:188–204. https://doi.org/10.1016/j.asoc.2019.01.015
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