Graph-based semi-supervised learning with genomic data integration using condition-responsive genes applied to phenotype classification.
Objective: Data integration methods that combine data from different molecular levels such as genome, epigenome, transcriptome, etc., have received a great deal of interest in the past few years. It has been demonstrated that the synergistic effects of different biological data types can boost learn...
| Publicado en: | Journal of the American Medical Informatics Association Vol. 25; no. 1; pp. 99 - 109 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Oxford University Press / USA
Jan2018
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| Acceso en línea: | Ver este registro en EBSCOhost |