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An efficient approach for feature construction of high-dimensional microarray data by random projections.
Dimensionality reduction of microarray data is a very challenging task due to high computational time and the large amount of memory required to train and test a model. Genetic programming (GP) is a stochastic approach to solving a problem. For high dimensional datasets, GP does not perform as well...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Public Library of Science (PLoS)
2018-01-01
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| Colección: | PLoS ONE |
| Acceso en línea: | http://europepmc.org/articles/PMC5922581?pdf=render |
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