Exact(57)
For example, in longitudinal analysis, scores are nested within students, and students are usually nested within classes.
The CLOVAR_MES_UP single-sample gene set enrichment analysis scores representing the mesenchymal molecular subtype were higher in paclitaxel responders than nonresponders (P = 0.002) in the GSE15622 data set.
In the analysis, scores of 0, 1, and 2 were grouped together (low score), and scores of 3 and 4 were grouped together (high score).
The principal component analysis scores plot using components 1 and 2 explained 75 and 8% of the variance, respectively, with no clear grouping either by sites or cultivars.
An algorithm based on mean squares successive difference test applied to near-infrared and principal component analysis scores was developed to monitor and determine the blending profile and to assess the end-point in the statistical stabile phase.
The qualitative performance results show the DERIV frameworks ability to distill storylines into a perception that is more accurate than sentiment analysis scores or multi-class logistic regression models as shown by AUC measure.
While more advanced methods have better classification accuracy, we focus on the simplest example to illustrate how analysis at the individual word level aids in understanding sentiment analysis scores.
Rather, each baseline method has its specific strengths and weaknesses, which are graphically displayed in the spider-net diagram in Figure 4. Figure 4 Weighted multi-criteria analysis: Graphical representation of the weighted multi-criteria analysis scores for each baseline approach.
Similar(3)
Meta-analysis scores were computed separately for tissue, disease, and compound categories.
Highest scores were assigned to HSA21 genes what indicates that the meta-analysis scores reflect the effect of an extra chromosome 21 on gene expression (Table 1).
The meta-analysis scores were significantly higher for class I and II genes than for class III and IV genes (P-value <0.01, Additional file 5, Figure S4).
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