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Analyzing Kernel Matrices for the Identification of Differentially Expressed Genes
One of the most important applications of microarray data is the class prediction of biological samples. For this purpose, statistical tests have often been applied to identify the differentially expressed genes (DEGs), followed by the employment of the state-of-the-art learning machines including t...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3857896/ https://www.ncbi.nlm.nih.gov/pubmed/24349110 http://dx.doi.org/10.1371/journal.pone.0081683 |