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Feature Selection for high Dimensional DNA Microarray data using hybrid approaches
Feature selection from DNA microarray data is a major challenge due to high dimensionality in expression data. The number of samples in the microarray data set is much smaller compared to the number of genes. Hence the data is improper to be used as the training set of a classifier. Therefore it is...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Biomedical Informatics
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3796884/ https://ncbi.nlm.nih.gov/pubmed/24143053 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.6026/97320630009824 |
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