A heuristic approach to handling missing data in biologics manufacturing databases

The biologics sector has amassed a wealth of data in the past three decades, in line with the bioprocess development and manufacturing guidelines, and analysis of these data with precision is expected to reveal behavioural patterns in cell populations that can be used for making predictions on how f...

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Detalles Bibliográficos
Autores principales: Mante, Jeanet, Gangadharan, Nishanthi, Sewell, David J., Turner, Richard, Field, Ray, Oliver, Stephen G., Slater, Nigel, Dikicioglu, Duygu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Rapid Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430751/
https://www.ncbi.nlm.nih.gov/pubmed/30617419
http://dx.doi.org/10.1007/s00449-018-02059-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430751/
https://www.ncbi.nlm.nih.gov/pubmed/30617419
http://dx.doi.org/10.1007/s00449-018-02059-5

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