A Hybrid Supervised-Unsupervised Learning Framework for Biomedical Data Analysis and Gene Signature Identification 2024 (English)In: International Conference on Electrical, Computer, and Energy Technologies, ICECET 2024, Institute of Electrical and Electronics Engineers Inc. , 2024Conference paper, Published paper (Refereed)

Place, publisher, year, edition, pages

Institute of Electrical and Electronics Engineers Inc. , 2024.

Keywords [en]

Biomedical Data, Naive Bayes, Support Vector Machine, and Random Forest, Principal Component Analysis

National Category

Bioinformatics (Computational Biology)

Research subject

Cyber Security

Identifiers

URN: urn:nbn:se:ltu:diva-110659DOI: 10.1109/ICECET61485.2024.10698074Scopus ID: 2-s2.0-85207452855OAI: oai:DiVA.org:ltu-110659DiVA, id: diva2:1911015

Conference

International Conference on Electrical, Computer and Energy Technologies (ICECET 2024), July 25-27, 2024, Sydney, Australia

Note

ISBN for host publication: 979-8-3503-9591-4;

Available from: 2024-11-06 Created: 2024-11-06 Last updated: 2025-10-21Bibliographically approved

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Authority records

Andersson, Karl

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