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Pashaei E, Ozen M, Aydin N. Biomarker discovery based on BBHA and AdaboostM1 on microarray data for cancer classification. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2017; 2016:3080-3083. [PMID: 28268962 DOI: 10.1109/embc.2016.7591380] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
In this paper, a new approach based on Binary Black Hole Algorithm (BBHA) and Adaptive Boosting version Ml (AdaboostM1) is proposed for finding genes that can classify the group of cancers correctly. In this approach, BBHA is used to perform gene selection and AdaboostM1 with 10-fold cross validation is adopted as the classifier. Also, to find the relation between the biomarkers for biological point of view, decision tree algorithm (C4.5) is utilized. The proposed approach is tested on three benchmark microarrays. The experimental results show that our proposed method can select the most informative gene subsets by reducing the dimension of the data set and improve classification accuracy as compared to several recent studies.
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Buabin E. Hybrid Neural Genetic Architecture. Bioinformatics 2013. [DOI: 10.4018/978-1-4666-3604-0.ch040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
The objective is a neural-based feature selection in intelligent recommender systems. In particular, a hybrid neural genetic architecture is modeled based on human nature, interactions, and behaviour. The main contribution of this chapter is the development of a novel genetic algorithm based on human nature, interactions, and behaviour. The novel genetic algorithm termed “Buabin Algorithm” is fully integrated with a hybrid neural classifier to form a Hybrid Neural Genetic Architecture. The research presents GA in a more attractive manner and opens up the various departments of a GA for active research. Although no scientific experiment is conducted to compare network performance with standard approaches, engaged techniques reveal drastic reductions in genetic operator operations. For illustration purposes, the UCI Molecular Biology (Splice Junction) dataset is used. Overall, “Buabin Algorithm” seeks to integrate human related interactions into genetic algorithms as imitate human genetics in recommender systems design and understand underlying datasets explicitly.
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Pérez-Castillo Y, Lazar C, Taminau J, Froeyen M, Cabrera-Pérez MÁ, Nowé A. GA(M)E-QSAR: A Novel, Fully Automatic Genetic-Algorithm-(Meta)-Ensembles Approach for Binary Classification in Ligand-Based Drug Design. J Chem Inf Model 2012; 52:2366-86. [DOI: 10.1021/ci300146h] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Affiliation(s)
- Yunierkis Pérez-Castillo
- Computational Modeling Lab (CoMo), Department
of Computer Sciences, Faculty
of Sciences, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussel, Belgium
- Molecular Simulations and Drug
Design Group, Centro de Bioactivos Químicos, Universidad Central “Marta Abreu” de Las Villas, Santa
Clara, Cuba
- Laboratory for
Medicinal Chemistry,
Rega Institute for Medical Research, Katholieke Universiteit Leuven, Minderbroedersstraat 10, B-3000 Leuven, Belgium
| | - Cosmin Lazar
- Computational Modeling Lab (CoMo), Department
of Computer Sciences, Faculty
of Sciences, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussel, Belgium
| | - Jonatan Taminau
- Computational Modeling Lab (CoMo), Department
of Computer Sciences, Faculty
of Sciences, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussel, Belgium
| | - Mathy Froeyen
- Laboratory for
Medicinal Chemistry,
Rega Institute for Medical Research, Katholieke Universiteit Leuven, Minderbroedersstraat 10, B-3000 Leuven, Belgium
| | - Miguel Ángel Cabrera-Pérez
- Molecular Simulations and Drug
Design Group, Centro de Bioactivos Químicos, Universidad Central “Marta Abreu” de Las Villas, Santa
Clara, Cuba
- Engineering
Department, Pharmacy and Pharmaceutical Technology Area,
Faculty of Pharmacy, University Miguel Hernandez, Alicante 03550, Spain
| | - Ann Nowé
- Computational Modeling Lab (CoMo), Department
of Computer Sciences, Faculty
of Sciences, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussel, Belgium
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