Sentence examples for z-score normalization from inspiring English sources

We used z-score normalization method to normalize our time series data.

Next, the data were normalized (Z-score normalization) according to sample to exclude differences associated with sample preparation, for example, and then further normalized (Z-score normalization) according to probe to exclude factors such as housekeeping genes, which are highly expressed in all tissues and organs.

The samples were grouped by data source when they were normalized by Z-score normalization (Figure 4A, Figure 4C).

Even fewer (four) common genes (CENPA, HRASLS, PECI, PRC1) were found in the merged data set normalized by Z-score normalization.

Trait values were normalized by Z-score normalization.

Gene-expression values were log10-transformed and normalized by Z-score normalization.

In order to normalize the time series data, z-score normalization method is used.

Each feature of different unusual consumptions, in vector Y U is normalized by min-max or z-score normalization method.

Z-score normalization is often used in data-mining tasks on time-series data, since normalized time-series sequences follow the shape of original time-series ones more closely; however, z-score normalization does not make sure that normalized time-series sequences are of the same amplitude.

Data is shown relative to the average expression across the whole brain (z-score normalization).

For each region, the average expression in each of the donors was calculated separately (after z-score normalization) and all six average values are shown in a boxplot.