Feature Selection Using a Genetic Algorithms and Fuzzy logic in Anti-Human Immunodeficiency Virus Prediction for Drug Discovery

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Labjar Houda; Al Sarem Mohammad; Kissi Mohamed

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Journal Paper

Paper Information

Journal: Journal of Information Technology Management Year:2022 | Volume:14 | Issue:supplement 1 Page(s): 23-36

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Title

Feature Selection Using a Genetic Algorithms and Fuzzy logic in Anti-Human Immunodeficiency Virus Prediction for Drug Discovery

Author(s)

Labjar Houda | Al Sarem Mohammad | Kissi Mohamed | Issue Writer Certificate

Keywords

Feature Selection

Machine Learning

Computational Chemistry

QSAR

Fuzzy Logic

Genetic Algorithms

Abstract

This paper presents an approach that uses both genetic algorithm (GA) and fuzzy inference system (FIS), for Feature Selection for descriptor in a quantitative structure activity relationships (QSAR) classification and prediction problem. Unlike the traditional techniques that employed GA, the FIS is used to evaluate an individual population in the GA process. So, the fitness function is introduced and defined by the error rate of the GA and FIS combination. The proposed approach has been implemented and tested using a data set with experimental value anti-human immunodeficiency virus (HIV) molecules. The statistical parameters q2 (leave many out) is equal 0. 59 and r (coefficient of correlation) is equal 0. 98. These results reveal the capacity for achieving subset of descriptors, with high predictive capacity as well as the effectiveness and robustness of the proposed approach.

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APA: Copy

Labjar, Houda, Al Sarem, Mohammad, & Kissi, Mohamed. (2022). Feature Selection Using a Genetic Algorithms and Fuzzy logic in Anti-Human Immunodeficiency Virus Prediction for Drug Discovery. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, 14(supplement 1), 23-36. SID. https://sid.ir/paper/982301/en

Vancouver: Copy

Labjar Houda, Al Sarem Mohammad, Kissi Mohamed. Feature Selection Using a Genetic Algorithms and Fuzzy logic in Anti-Human Immunodeficiency Virus Prediction for Drug Discovery. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT[Internet]. 2022;14(supplement 1):23-36. Available from: https://sid.ir/paper/982301/en

IEEE: Copy

Houda Labjar, Mohammad Al Sarem, and Mohamed Kissi, “Feature Selection Using a Genetic Algorithms and Fuzzy logic in Anti-Human Immunodeficiency Virus Prediction for Drug Discovery,” JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, vol. 14, no. supplement 1, pp. 23–36, 2022, [Online]. Available: https://sid.ir/paper/982301/en

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