Low-Rank and Sparse Matrix Decomposition for Genetic Interaction Data.
Background: Epistatic miniarray profile (EMAP) studies have enabled the mapping of large-scale genetic interaction networks and generated large amounts of data in model organisms. One approach to analyze EMAP data is to identify gene modules with densely interacting genes. In addition, genetic inter...
| Publicado en: | BioMed Research International Vol. 2015; pp. 573956 - 573957 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
1/1/2015
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| Acceso en línea: | Ver este registro en EBSCOhost |