Sentence examples for methods that evaluates from inspiring English sources

In this study [ 9], digital control has been measured using the digital CTC (Control Type Confidence), a measure very similar to our metabolic coherence (see Methods), that evaluates the coherence of patterns of differentially expressed genes with the TRN.

As such, current simulation methods that evaluate energy dissipation alone are not sufficient for a comprehensive evaluation of new Fontan designs.

Multi Criteria Decision Analysis (MCDA) (or Multi Criteria Assessment (MCA)) is a family of methods that "evaluate(s) alternative options against several criteria and combines these separate evaluations into one overall evaluation" [34: 102].

Traditional methods that evaluate protein stability require large amounts of material and are, therefore, ill suited for medium- to high-throughput screening of membrane proteins.

In this study, a continuous index of medium-frequency dendrochronological trends was developed, by generalizing previous analytical methods that evaluate relative changes using moving averages.

Similarly, there are other geostatisical methods such as clustering methods that evaluate relative risk based on their degree of association with its surroundings.

Many different TFDs of a signal exist, including, but not limited to, the Wigner-Ville distribution (WVD), the spectrogram using a Short Time Fourier Transform (STFT), the wavelet transform (WT), the Hilbert Huang transform (HHT) and other methods that evaluate several parameters with TFD, such as the relationship between the instantaneous frequency (IF) and the TFD's [7].

Note that this bootstrap technique, relying on an estimation of H1, tends to have more power than other robust methods like permutation tests and related bootstrap methods that evaluate the null hypothesis H0.

Yana et al [ 15] investigated the feature selection methods that evaluate the "informativeness" of a set of genes.

In this paper we propose and study feature selection methods that evaluate the "informativeness" of a set of genes.

The sets can be used as test cases for any methods that evaluate or predict molecular selectivity, similar to entries 5 and 6.