Software

EvoFuzzy

Federation University Australia
Hasini Nakulugamuwa-Gamage (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25955/27200241.v2&rft.title=EvoFuzzy&rft.identifier=10.25955/27200241.v2&rft.publisher=Federation University Australia&rft.description=EvoFuzzy - Source code and datasetsEvoFuzzy: Evolutionary fuzzy ensemble approach for reconstructing consensus genetic networks EvoFuzzy, an algorithm that integrates evolutionary and fuzzy concepts to combine gene regulatory networks (GRNs) derived from Boolean, regression, and fuzzy models. The algorithm evolves a population of networks using fuzzy trigonometric differential evolution, with gene expression predictions based on confidence levels applied through a fuzzy logic-based predictor.&rft.creator=Hasini Nakulugamuwa-Gamage&rft.date=2024&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_subject=Bioinformatics and computational biology not elsewhere classified&rft_subject=Gene Regulatory Network inference&rft_subject=evolutionary algorithms based&rft_subject=Differential evolution (DE) algorithm&rft_subject=Fuzzy concepts&rft_subject=ensemble model ’&rft.type=Computer Program&rft.language=English Access the software
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EvoFuzzy - Source code and datasets

EvoFuzzy: Evolutionary fuzzy ensemble approach for reconstructing consensus genetic networks EvoFuzzy, an algorithm that integrates evolutionary and fuzzy concepts to combine gene regulatory networks (GRNs) derived from Boolean, regression, and fuzzy models. The algorithm evolves a population of networks using fuzzy trigonometric differential evolution, with gene expression predictions based on confidence levels applied through a fuzzy logic-based predictor.

Issued: 10 10 2024

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Subjects
Bioinformatics and computational biology not elsewhere classified | Differential evolution (DE) algorithm | Fuzzy concepts | Gene Regulatory Network inference | ensemble model ’ | evolutionary algorithms based |

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