Sentence examples for the datasets was from inspiring English sources

The quality of the datasets was assured and assessed based on the three steps described below.

Instead the Ramblers welcomed the idea of opening up paper maps to competition – leading to disappointment when the details of the datasets was announced.

The stationarity of the datasets was analyzed by using unit root tests.

The specified stereoconfiguration of all bioactives and decoys of the datasets was retained.

Each cropped facial image in the datasets was isotropically scaled to the fixed size of 32 × 32 pixels.

Since these attributes can be computed only when both proteins have a corresponding annotation, the proportion of the attributes that appeared in the datasets was rather smaller.

Rough set and activity landscape methods have provided useful suggestions as to the active substructure, but the number of molecules in the datasets was limited [6, 7].

The stationarity of the datasets was examined by applying two commonly used methods, the Phillips-Perron (PP) test (Phillips and Perron 1988) and the augmented Dickey-Fuller (ADF) test (Dickey and Fuller 1979).

Before regression analysis, the datasets was first 0-mean and unit-variance normalized.

The most appropriate model for each of the datasets was chosen by employing the Akaike information criterion (AIC).

Finally, systemic non-biological interlaboratory experimental variation ("batch effect") between the datasets was adjusted using non-parametric empirical Bayes frameworks implemented in ComBat (http://statistics.byu.edu/johnson/ComBat) [18].