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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4529927/ https://www.ncbi.nlm.nih.gov/pubmed/26273633 http://dx.doi.org/10.1155/2015/573956 |