Cargando…
Quantification of Compatibility Between Polymeric Excipients and Atenolol Using Principal Component Analysis and Hierarchical Cluster Analysis
An important challenge to overcome in the solid dosage forms technology is the selection of the most biopharmaceutically efficient polymeric excipients. The excipients can be selected, among others, by compatibility studies since incompatibilities between ingredients of the drug formulations adverse...
Autores principales: | Rojek, Barbara, Gazda, Maria, Wesolowski, Marek |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8604873/ https://www.ncbi.nlm.nih.gov/pubmed/34799781 http://dx.doi.org/10.1208/s12249-021-02143-2 |
Ejemplares similares
-
hcapca: Automated Hierarchical Clustering and Principal Component Analysis of Large Metabolomic Datasets in R
por: Chanana, Shaurya, et al.
Publicado: (2020) -
CLUSFAVOR 5.0: hierarchical cluster and principal-component analysis of microarray-based transcriptional profiles
por: Peterson, Leif E
Publicado: (2002) -
Microglia Morphological Categorization in a Rat Model of Neuroinflammation by Hierarchical Cluster and Principal Components Analysis
por: Fernández-Arjona, María del Mar, et al.
Publicado: (2017) -
Pattern Recognition for Steam Flooding Field Applications
Based on Hierarchical Clustering and Principal Component Analysis
por: Zhang, Na, et al.
Publicado: (2022) -
SEM-EDS investigation on PM10 data collected in Central Italy: Principal Component Analysis and Hierarchical Cluster Analysis
por: Genga, Alessandra, et al.
Publicado: (2012)