Adaptive Feature Selection and Classification of Colon Cancer From Gene Expression Data

Author:

Islam Ashraful1,Rahman Mohammad Masudur2,Ahmed Eshtiak3,Arafat Faisal3,Rabby Md Fazle1

Affiliation:

1. University of Louisiana at Lafayette, Lafayette, Louisiana, USA

2. Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

3. Daffodil International University, Dhaka, Bangladesh

Publisher

ACM

Cited by 4 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. Gene reduction and machine learning algorithms for cancer classification based on microarray gene expression data: A comprehensive review;Expert Systems with Applications;2023-03

2. Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification;Medical & Biological Engineering & Computing;2022-01-13

3. Utilizing an Integrated Feature Selection Technique in Ovarian Cancer to Solve Classification Problem;2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET);2021-12-02

4. DiabeDetect: A Novel Decision Tree-Based Approach for Early Prognosis of Diabetes;Advances in Intelligent Systems and Computing;2021-09-01

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