Sentence examples for variance in datasets from inspiring English sources

We hope that the proposed method provides additional insights into the pathogenesis of other diseases using hundreds of genetic variance in datasets.

Although the conventional evaluation criterion is the classification accuracy, selecting a stable feature set that is not sensitive to the variance in dataset may provide more scientific insights.

That means the first two factors have more importance in explaining the variance in dataset than the other three factors combined.

For this to be a standalone test, we then select the datasets based on the variance in the dataset and only use datasets with high variations.

Estimates of variance explained in datasets indicate how important the polygenic component of ER-positive disease is in explaining the overall occurrence of ER-positive and ER-negative diseases.

In contrast to other more complex biochemically based models, the present model was relatively simple and accounted for a high percentage of the variance in independent datasets.

The second treatment of dataset consisted in a normalization based on the variance in the dataset as described previously [ 9].

Samples were obtained from different human subjects, thus the biological variance in this dataset is expected to be large (no biological variation is present in the cell line dataset).

The first component depicted between 53% and 70% of the total variance in the dataset for the different years.

However, there was reduced variance in the dataset for the period 1901 1925 because climatological averages were used for the northern part of the island in these years due to an absence of any proximal climate station.

OMI analysis explained a high proportion of variance in the dataset (71.8%) and separated boreal birds along two axes associated with moisture productivity and age structural complexity gradients.