A Gene Selection Method Based On Outliers for Breast Cancer Subtype Classification

Author:

Mendoncaneto Rayol,Fenyo David,Li Zhi,Nakamura Eduardo F.,Nakamura Fabiola Guerra,Silva Claudio T.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ViT-MAENB7: An innovative breast cancer diagnosis model from 3D mammograms using advanced segmentation and classification process;Computer Methods and Programs in Biomedicine;2024-12

2. Simultaneously feature selection and parameters optimization by teaching–learning and genetic algorithms for diagnosis of breast cancer;International Journal of Data Science and Analytics;2024-03-08

3. Few-shot genes selection: subset of PAM50 genes for breast cancer subtypes classification;BMC Bioinformatics;2024-03-01

4. Feature Engineering with Microarray Gene Expression Techniques for Asymptomatic Disease Classification;2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI);2023-11-27

5. Gene Selection Using Multi-Objective Optimization for Disease Classification;2023 IEEE 5th PhD Colloquium on Emerging Domain Innovation and Technology for Society (PhD EDITS);2023-11-25

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