Sentence examples for microarray normalisation techniques from inspiring English sources

This bias was found to persist following standard microarray normalisation techniques.

Although previous research [ 53] has suggested relatively high robustness of microarray data analysis to different types of normalisation techniques, more evidence clearly indicates that prediction outcomes can be significantly affected by the selection of normalisation methods [ 29- 32].

However, cross-platform integration of microarray data has been analysed only for clustering and classification problems, using normalisation techniques to remove platform and batch effects [7], [8].

We introduce two preprocessing approaches based on existing normalisation techniques and provide a comprehensive comparison of normalised datasets.

On the resulting datasets, three cross-platform normalisation techniques were applied, resulting in a total of nine normalised datasets for comparison.

In the normalisation process, two different linear normalisation and vector normalisation techniques are used.

The problem is extended from original TOPSIS in terms of different contexts, distance and normalisation techniques.

Common normalisation techniques are exponentiation and logarithmic transformation.

Speaker adaptation and speaker normalisation techniques are often used to improve ASR performance [25].

Secondly, (ii) wavelet analysis was used to compare the normalisation techniques used.

Results show a very large difference on the log scale between normalisation techniques used.