Integrating Chicken Swarm Optimization with Deep Learning for Microarray Gene Expression Classification-Reference-Cited by-同舟云学术

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Integrating Chicken Swarm Optimization with Deep Learning for Microarray Gene Expression Classification

Published:2024-04-23 Issue: Volume:7 Page:229-233
ISSN:
Container-title:2024 7th International Conference on Devices, Circuits and Systems (ICDCS)
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Author:

Gowri B. Shyamala¹,H Nair S. Anu²,Sanal Kumar K. P.³,Kamalakkannan S.⁴

Affiliation:

1. Annamalai University,Department of Computer Science and Engineering

2. Annamalai University,Faculty of Engineering and Technology,Department of Computer Science and Engineering

3. RV Government Arts College,Department of CS,Chengalpattu

4. School of Computing Sciences, VISTAS,Department of IT

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10560478/10560483/10560805.pdf?arnumber=10560805

Reference21 articles.

1. Empirical Analysis of the Effect of Resampling on Supervised Learning Algorithms in Predicting the Types of Lung Cancer on Multiclass Imbalanced Microarray Gene Expression Data;Aruna

2. PEATmoss ( Physcomitrella Expression Atlas Tool): a unified gene expression atlas for the model plant Physcomitrella patens

3. Gene reduction and machine learning algorithms for cancer classification based on microarray gene expression data: A comprehensive review

4. Effective dimensionality reduction model with machine learning classification for microarray gene expression data;Saheed;Data Science for Genomics,2023

5. Red Fox Optimizer with Data-Science-Enabled Microarray Gene Expression Classification Model

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