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A two-phase cuckoo search based approach for gene selection and deep learning classification of cancer disease using gene expression data with a novel fitness function

Crossref DOI link: https://doi.org/10.1007/s11042-024-18327-4

Published Online: 2024-02-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Joshi, Amol Avinash

Aziz, Rabia Musheer
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Text and Data Mining valid from 2024-02-06

Version of Record valid from 2024-02-06
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Article History

Received: 18 July 2023

Revised: 9 January 2024

Accepted: 19 January 2024

First Online: 6 February 2024

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The authors declare no Conflict of Interest.

: This article does not contain any studies with human participants or animals performed by any of the authors.

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