Lipidomic data analysis: Tutorial, practical guidelines and applications 3.3 Principal component analysis Principal component analysis (PCA) is the most used explorative multivariate method. The primary goal of
A multi-omic atlas of the human frontal cortex for aging and Alzheimer's disease research. Sci Data. 2018; 5:180142. https://doi.org/10.1038/sdata.2018.142 [PubMed] 37. Chen BH, Marioni RE, Colicino E, Peters MJ, Ward-Caviness CK, Tsai PC, Roetker NS, Just AC, Demerath EW,...
The first statistical approach was based on Principal Component Analysis (PCA) followed by logistic regression models that included the identified principal components as main exposure variables. The second approach used BKMR models with hierarchical variable selection, this latter being suitable for highly...