Gene selection via a new hybrid ant colony optimization algorithm for cancer classification in high-dimensional data
DOI10.1155/2019/7828590zbMath1428.92045OpenAlexW2979679048WikidataQ91317369 ScholiaQ91317369MaRDI QIDQ2283785
Sidi Mohamed Douiri, Ahmed Bir-Jmel, Souad El Bernoussi
Publication date: 13 January 2020
Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2019/7828590
Applications of statistics to biology and medical sciences; meta analysis (62P10) Approximation methods and heuristics in mathematical programming (90C59) Medical applications (general) (92C50) Genetics and epigenetics (92D10)
Uses Software
Cites Work
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- Improved binary PSO for feature selection using gene expression data
- Wrappers for feature subset selection
- On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems
- The maximum clique problem
- Wiener number of vertex-weighted graphs and a chemical application
- \(P_{5}\)-free augmenting graphs and the maximum stable set problem
- An improved ant system algorithm for the vehicle routing problem
- A note on greedy algorithms for the maximum weighted independent set problem
- Support-vector networks
- A new ant colony optimization algorithm for the lower bound of sum coloring problem
- Ant colonies for the quadratic assignment problem
- Discriminatory Analysis. Nonparametric Discrimination: Consistency Properties
- Selection bias in gene extraction on the basis of microarray gene-expression data
- Ant colony optimization and local search for bin packing and cutting stock problems
- Gene selection via BPSO and Backward generation for cancer classification
- Nearest neighbor pattern classification
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