The principal component analysis showed unidimensionality.
Principle component analysis showed that negative aesthetic reactions were associated primarily with a perception of messiness.
Principal component analysis showed that genes are differentially expressed between the patient groups.
Principal component analysis showed a drastic bacterial community structural change at the sixth month of fermentation.
Principal component analysis showed the existence of two main components accounting for 76% of the total variability.
Principal component analysis showed that changes in the weed community composition were due to application of P and FYM.
Principal component analysis showed that the RIC state differed from that of control HDF and that RICs formed clusters in different positions from conventional iPS cells and ES cells (Fig. 3j).
Principal component analysis showed that genotype imputation did not lead to significant differences in genetic group composition and pairwise individual distances, for all three accession classes of panel S (S.C., S.L., S.P.) (Supplementary Fig. 5a c).
Principal component analysis showed that spatial scale did not affect the nature of relationships, but habitat context did.
Principal component analysis showed that arm length was the morphological characteristic that separated embryos incubated at 22 °C from the rest of the treatments.
Principal component analysis showed that the pressure transmission ratio, die wall force and Carr's index were the most important variables in granule preparation.
