Enhancing Cancer Classification Through the Development of a Fuzzy Gene Selection-Wrapper Plus Method-Reference-Cited by-同舟云学术

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Enhancing Cancer Classification Through the Development of a Fuzzy Gene Selection-Wrapper Plus Method

Published:2023-09-12 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
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Author:

Khalsan Mahmood¹,Mu Mu¹,Al-shamery Eman Salih²,Machado Lee³,Agyeman Michael Opoku¹,Ajit Suraj¹

Affiliation:

1. The University of Northampton,Advanced Technology Research Group, Faculty of Arts, Science, and Technology,UK

2. College of Information Technology, The University of Babylon,Computer Science Department,Iraq

3. The University of Northampton,Centre for Physical Activity and Life Science, Faculty of Arts, Science, and Technology,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10291172/10291205/10291820.pdf?arnumber=10291820

Reference23 articles.

1. NCBI GEO: archive for functional genomics data sets—update

2. Fuzzy Gene Selection and Cancer Classification Based on Deep Learning Model;khalsan;ArXiv Preprint,2023

3. A Comprehensive Survey of Recent Hybrid Feature Selection Methods in Cancer Microarray Gene Expression Data

4. Comparison of Machine Learning Algorithms in Data classification

5. The Cancer Genome Atlas Pan-Cancer analysis project

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