Microarray Gene Expression Data Classification Using Feature Selection and Naïve Bayes Classifier

Vural, Halit; Abdulhamit, Subasi

doi:10.17694/bajece.05769

Balkan Journal of Electrical and Computer Engineering

2015

DOI: 10.17694/bajece.05769

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Microarray Gene Expression Data Classification Using Feature Selection and Naïve Bayes Classifier

Halit Vural¹,

Subasi Abdulhamit²

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2023

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Cancer Prediction Using Feature Fusion and Taylor-TSA-Based GAN with Gene Expression Data

Jeyabharathi,

Velliangiri,

Joseph

et al. 2023

Int. J. Patt. Recogn. Artif. Intell.

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This research paper develops an efficient model, named Taylor-Tunicate Swarm Algorithm-based Generative Adversarial Networks (Taylor-TSA-based GANs) for cancer prediction. The developed Taylor-TSA incorporates the Taylor series with Tunicate Swarm Algorithm (TSA) algorithm. The Yeo–Johnson (YJ) transformation is employed for the data transformation. The feature fusion is evaluated by Deep Stacked Autoencoder (Deep SAE). The fused feature is given as input to the cancer prediction done by GAN trained by Taylor-TSA. The developed model is an effective and efficient use of information with clinical data. The Taylor-TSA-based GAN is analyzed in terms of accuracy, False Positive Rate (FPR), and True Positive Rate (TPR) with the values of 0.9184, 0.1782, and 0.9246.

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Cancer Prediction Using Feature Fusion and Taylor-TSA-Based GAN with Gene Expression Data

Jeyabharathi,

Velliangiri,

Joseph

et al. 2023

Int. J. Patt. Recogn. Artif. Intell.

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Microarray Gene Expression Data Classification Using Feature Selection and Naïve Bayes Classifier

Cited by 1 publication

References 0 publications

Cancer Prediction Using Feature Fusion and Taylor-TSA-Based GAN with Gene Expression Data

Cancer Prediction Using Feature Fusion and Taylor-TSA-Based GAN with Gene Expression Data

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