Optimized gene selection and classification of cancer from microarray gene expression data using deep learning
Author:
Funder
King Abdulaziz University
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-020-05367-8.pdf
Reference48 articles.
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2. World Health Organization, Cancer (2018) Available from: https://www.who.int/news-room/fact-sheets/detail/cancer. Accessed 23 April 2019
3. Babu M, Sarkar K (2016) A comparative study of gene selection methods for cancer classification using microarray data. In: 2016 second international conference on research in computational intelligence and communication networks (ICRCICN). IEEE
4. Arslan MT, Kalinli A (2016) A comparative study of statistical and artificial intelligence based classification algorithms on central nervous system cancer microarray gene expression data. Int J Intell Syst Appl Eng. https://doi.org/10.18201/ijisae.267094
5. Bolón-Canedo V, Sánchez-Marono N, Alonso-Betanzos A, Benítez JM, Herrera F (2014) A review of microarray datasets and applied feature selection methods. Inf Sci 282:111–135
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