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9 To discern key mechanisms of the invasive inflammatory disease endometriosis, for example, experimental measurements of cytokines, growth factors, and protease activities from human patient peritoneal fluid samples have been used in multivariate classification and network models.
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The template data consists of three to four consistent elements and then some variant data that is used in multivariate testing.
This novel approach combining spectral data from different depths in multivariate classification can improve soil classification and survey in a cost-efficient manner, supporting sustainable use and management of tropical soils.
We used the multivariate classification approach to predict al-EC and pm-EC subregions across all subjects.
We used the multivariate classification tree approach to investigate which of the fitted model parameters differed significantly between the study communities and which may, therefore, be considered to underlie any between-community variation in the model outputs [ 47].
Lastly, to our knowledge, no study in ADHD has used multivariate classification methods to task-related functional imaging data.
Differences in atrophy progression between PCA and tAD patients were subtle, reaching statistical significance only when using a multivariate classification approach.
The values of markers were transformed into log values before analysis using a multivariate classification algorithm.
Segmentations were generated by clustering those multi-variables using a multivariate classification method such as K-means cluster analysis [ 28].
Confounds, systemic or otherwise, introduced in a study design cannot be recorded or tested using multivariate classification methods in as flexible a fashion as in (e.g.,) general linear models [Todd et al., 2013].
Class prediction was assessed to classify and to predict in which class was enclosed a sample in relation to its expression profile, using multivariate classification methods showed in Supplementary Table S4.
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