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However, by applying Partial Least Squares regression, a good correlation was found between promoter sequence and promoter strength.
However, by applying Partial Least Squares regression, a model describing the promoter strength was built and validated.
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Answers were first transformed into numerical variables, before applying partial least square regression modelling (PLS-R).
Here we applied partial least squares-discriminant analysis (PLS-DA) to determine if differences in multivariate phosphorylation signals are sufficient to classify infection status (Fig. 3).
We further apply partial least squares (PLS) regressions to understand consumers' cognitive and affective reactions during the opening process.
To directly relate composition of metabolites to cellular conditions, we applied partial least squares (PLS) regression to the metabolite profiling data.
Bivariate correlation analyses were performed by applying partial correlations adjusting for BFM.
The performance modeling of centrifugal (turbo) compressor was performed in this paper by applying kernel partial least squares (KPLS).
The first predictive model was obtained by directly applying a partial least square regression (PLSR) calibrated in laboratory, onto the hyperspectral image.
The model was estimated applying the Partial Least Squares technique to address the prediction-oriented nature of the study.
Relative mass intensities and isotopomer distributions are calculated applying a partial least square method with iterative refinement for high precision data.
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