A mutation-based modified binary fruit fly optimization for feature selection to predict CD4+/CD8+ T-cells epitopes-Reference-Cited by-同舟云学术

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A mutation-based modified binary fruit fly optimization for feature selection to predict CD4+/CD8+ T-cells epitopes

Published:2023-11-24 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Angaitkar Pratik^ORCID,Janghel Rekh Ram,Sahu Tirath Prasad

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-09396-y.pdf

Reference63 articles.

1. Abualigah L, Diabat A (2022) Chaotic Binary Group Search Optimizer for feature selection. Expert Syst Appl 192:116368. https://doi.org/10.1016/J.ESWA.2021.116368

2. Ahmad Zamri N, Nor NA, Bhuvaneswari T, Abdul Aziz NH, Ghazali AK (2023) Feature selection of microarray data using simulated Kalman filter with mutation. Processes. https://doi.org/10.3390/pr11082409

3. Arora S, Anand P (2019) Binary butterfly optimization approaches for feature selection. Expert Syst Appl 116:147–160. https://doi.org/10.1016/J.ESWA.2018.08.051

4. Brusic V, Bajic VB, Petrovsky N (2004) Computational methods for prediction of T-cell epitopes—a framework for modelling, testing, and applications. Methods 34(4):436–443. https://doi.org/10.1016/j.ymeth.2004.06.006

5. Chakraborty S, Sharma S, Saha AK, Saha A (2022) A novel improved Whale Optimization algorithm to solve numerical optimization and real-world applications. Artif Intell Rev 55(6):4605–4716. https://doi.org/10.1007/S10462-021-10114-Z

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