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Bioprocess data mining using regularized regression and random forests
BACKGROUND: In bioprocess development, the needs of data analysis include (1) getting overview to existing data sets, (2) identifying primary control parameters, (3) determining a useful control direction, and (4) planning future experiments. In particular, the integration of multiple data sets caus...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2013
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3750505/ https://ncbi.nlm.nih.gov/pubmed/24268049 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1752-0509-7-S1-S5 |
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