Sentence examples for datasets explains from inspiring English sources
The PC2 in the datasets explains 19.020%% of variance.
The first principal component (PC1) in the datasets explains 39.610%% of total variance and is strongly positively loaded with Fe, Al, Ti, and Rb and moderately positively loaded with Ba, indicating both natural and anthropogenic sources.
Markers with infrequent variants in the G and G + I datasets explained 1.1% (45,769 SNPs, s.e. = 3.0% and 3.00% (1,235,720 SNPs, s.e. = 4.0%) of the variation in liability to psoriasis, respectively.
This happened in present work: applying the method to Ewing's sarcoma network and data we suggest that the full dataset explains a few post-translational processes.
At first sight, this value might not be as low as expected but the results panel in Figure 2 or in the Dorso-ventral axis formation analysis results summary in the Dataset explains the reason.
To test the model described in this paper we used the final dataset explained in "Trend analysis" section.
These dataset explain that the tissues do not respond with a constant force when the needle punctures the tissue.
Ordination by principal component analysis (PCA) resulted in a three-factor model, which efficiently summarized the dataset explaining 81.4% of total soil variance (TSV).
The REVERB challenge consists of two tasks: one for SE and another for ASR, both of which are based on the dataset explained in the previous section.
In addition to Ole Jensen dataset explained in Section 3.1; Viola and Jones dataset [3, 34] which consists of gray-scale frontal face images of size pixels and gray-scale nonface images of size is used.
The results of the parallel analysis indicate the PAB-S has one dimension (Dataset explained variance = 58.3 % for factor 1 and 4.9 % for factor 2; Parallel Analysis explained variance = 12.6 % for factor 1 and 5.1 % for factor 2). Hence, the scale was submitted to a single-factor ESEM presented in Table 1.
