Omics data classification using constitutive artificial neural network optimized with single candidate optimizer-Reference-Cited by-同舟云学术

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Omics data classification using constitutive artificial neural network optimized with single candidate optimizer

Published:2024-05-12 Issue: Volume: Page:1-25
ISSN:0954-898X
Container-title:Network: Computation in Neural Systems
language:en
Short-container-title:Network: Computation in Neural Systems

Author:

Madhan Subramaniam¹,Kalaiselvan Anbarasan²

Affiliation:

1. Department of Computer Science and Engineering, University College of Engineering, Thirukkuvalai (A Constituent College of Anna University Chennai), Nagapattinam, Tamilnadu, India

2. Department of Science and Humanities, University College of Engineering, Thirukkuvalai (A Constituent College of Anna University Chennai), Nagapattinam, Tamilnadu, India

Funder

the work featured in this article

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0954898X.2024.2348726

Reference36 articles.

1. Feature Selection and Dwarf Mongoose Optimization Enabled Deep Learning for Heart Disease Detection

2. Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer

3. Convolutional neural network for human cancer types prediction by integrating protein interaction networks and omics data

4. An adaptive variational Bayesian filter for nonlinear multi-sensor systems with unknown noise statistics

5. A Cascade Deep Forest Model for Breast Cancer Subtype Classification Using Multi-Omics Data

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