Local Entropy Based Remora Optimization and Sparse Autoencoders for Cancer Diagnosis Through Microarray Gene Expression Analysis

Gene expression analysis can be used as a tool to detect cancer and the type of cancer in its early stages. However, the computational complexity for gene expression analysis is quite high due to the large amount of numerical data. Hence, dimensionality reduction techniques are employed to reduce th...

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Principais autores:	N. Bharanidharan, S. R. Sannasi Chakravarthy, Vinoth Kumar Venkatesan, Mohamed Abbas, T. R. Mahesh, E. Mohan, Krishnamoorthy Venkatesan
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2024-01-01
Serija:	IEEE Access
Teme:	Cancer entropy sparse autoencoder remora optimization dimensionality reduction deep learning
Online dostop:	https://ieeexplore.ieee.org/document/10453518/
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