Distinctive carbohydrate profiles of black ginseng revealed by IM-MS combined with PMP labeling and multivariate data analysis. [PDF]
Curr Res Food Sci, 2022 Shao S +7 more
europepmc +1 more source
Interactive Multivariate Data Analysis in R with the ade4 and ade4TkGUI Packages [PDF]
ade4 is a multivariate data analysis package for the R statistical environment, and ade4TkGUI is a Tcl/Tk graphical user interface for the most essential methods of ade4. Both packages are available on CRAN. An overview of ade4TkGUI is presented, and the
Jean Thioulouse, Stéphane Dray
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Arthritis Care &Research, Accepted Article.Aims We investigated whether a diagnosis of rheumatoid arthritis (RA) affects the quality of inpatient acute myocardial infarction (AMI) care and long‐term mortality post‐AMI. Methods We analysed data from 784,091 adults, 6,047 with a diagnosis of RA, from England and Wales hospitalised with AMI between 2005 and 2019 from the MINAP registry, linked ...
Megan Butler +8 more
wiley +1 more source
Spectral Features Differentiate Aging-Induced Changes in Parchment-A Combined Approach of UV/VIS, µ-ATR/FTIR and µ-Raman Spectroscopy with Multivariate Data Analysis. [PDF]
Molecules, 2023 Malissa A +3 more
europepmc +1 more source
Biplots of fuzzy coded data [PDF]
A biplot, which is the multivariate generalization of the two-variable scatterplot, can be used to visualize the results of many multivariate techniques, especially those that are based on the singular value decomposition.
Michael Greenacre, Zerrin Asan
core
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Distributional reservoir state analysis for real-time anomaly detection in multivariate time series data [PDF]
Hiroto Tamura +3 more
openalex +3 more sources
Deciphering the growth stage specific bioactive diversity patterns in Murraya koenigii (L.) Spreng. using multivariate data analysis. [PDF]
Front Plant Sci, 2022 Verma R +5 more
europepmc +1 more source
An exact algorithm for weighted-mean trimmed regions in any dimension [PDF]
Trimmed regions are a powerful tool of multivariate data analysis. They describe a probability distribution in Euclidean d-space regarding location, dispersion, and shape, and they order multivariate data with respect to their centrality.
Bazovkin, Pavel, Mosler, Karl
core
Typology of Motivation Factors for Employees in the Banking Sector: An Empirical Study Using Multivariate Data Analysis Methods [PDF]
, 2023 Áurea Sousa +4 more
openalex +1 more source