principal component weight from an ANOVA analysis.
Since the Pearson Moment Correlation coefficient between DPI1 and DPI1-weighted was very high (0.9975), it was decided to model DPI1-weighted (dependent variable) through neuropsychological tests (independent variables), as this index was geared to provide maximum discrimination between drivers because of Principal Component weights.
In principal, the weighting scheme could also be extended to variants in other genomic regions, e.g., gene introns, regulatory regions (enhancer, silencer, and etc)., splicing sites, and ultra-conserved regions, by studying ortholog sequences between and/or within species.
This was evidenced most clearly by examining the interaction between OFC and ACC principal component weights, and DLPFC neuronal firing.
(A ) Underlying correlation structure in principal component weights (PC2) across simultaneously electrodes, both within region (on-diagonal) and across region (off-diagonal).
Note that this sign-flipping correction does not produce changes in the PCA decomposition of the data, but instead simply ensures that the principal component weights can be interpreted in a consistent manner across subjects.
Further, we also show that even existing and well-accepted methods, like equal weighting, Benefit of the Doubt weighting (BoD) and principal component analysis weighting (PCA) may lead to drastically differing results.
Some direct feature filtering approaches includes correlation matrix, Fisher's weight, Principal Components Analysis or Weighted Principal Components Analysis or Partial Least Squares (PCA/WPCA/PLS) loadings, regression coefficients, variable importance in PLS projections [VIP]) and Random Forest (RF).
Based on a priori knowledge, we chose a set of potential confounders (age, sex, estimated weight, principal indication for intubation, device, and the specialties and training level of intubator) [3, 7, 8, 13, 22].
