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A Framework for Regularized Non-Negative Matrix Factorization, with Application to the Analysis of Gene Expression Data
Non-negative matrix factorization (NMF) condenses high-dimensional data into lower-dimensional models subject to the requirement that data can only be added, never subtracted. However, the NMF problem does not have a unique solution, creating a need for additional constraints (regularization constra...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2012
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3487913/ https://www.ncbi.nlm.nih.gov/pubmed/23133590 http://dx.doi.org/10.1371/journal.pone.0046331 |