Ensemble Based Fuzzy with Particle Swarm Optimization Based Weighted Clustering (Efpso-Wc) and Gene Ontology for Microarray Gene Expression-Reference-Cited by-同舟云学术

Ensemble Based Fuzzy with Particle Swarm Optimization Based Weighted Clustering (Efpso-Wc) and Gene Ontology for Microarray Gene Expression

Published:2018-11-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 International Conference on Digital Medicine and Image Processing
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Author:

Thangamani M.¹,Ibrahim S. Jafar Ali¹

Affiliation:

1. Kongu Engineering College, Perundurai, Tamilnadu, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3299852.3299866

Reference23 articles.

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2. Mohamed E. El Houby E. M. Wassif K. T. and Salah A. I. 2016 Survey on different Methods for Classifying Gene Expression using Microarray Approach. pp. 12--21. Mohamed E. El Houby E. M. Wassif K. T. and Salah A. I. 2016 Survey on different Methods for Classifying Gene Expression using Microarray Approach. pp. 12--21.

3. Maria I. and Kurian M. 2013 A Survey on Clustering Approach for Gene Expression Patterns. pp 214--218. Maria I. and Kurian M. 2013 A Survey on Clustering Approach for Gene Expression Patterns. pp 214--218.

4. Xu R. and Wunsch D. 2005 Survey of clustering algorithms in IEEE Transactions on neural networks 16(3) pp.645--678. 10.1109/TNN.2005.845141 Xu R. and Wunsch D. 2005 Survey of clustering algorithms in IEEE Transactions on neural networks 16(3) pp.645--678. 10.1109/TNN.2005.845141

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