Sentence examples for analysis methods to detect from inspiring English sources

Wavelet and cross wavelet spectral analysis offers promising time-scale resolved analysis methods to detect and analyze such exceptional co-oscillations.

As the packing density of printed circuit board (PCB) is increasing, conventional failure analysis methods to detect open or short circuit in PCBs are no longer adequate, and voltage contrast method could be a method for this purpose.

Today, the majority of forensic DNA tests employ PCR and capillary electrophoresis (CE -based fragment analysis methods to deteCE -based variation in short tandem repeat (STR) markers.

The results had shown that QTGENN method has high power than traditional linear regression analysis methods to detect single-locus model and completely epistatic two-locus models.

This study has demonstrated the involvement of a number of genes previously not associated with host defence or inflammation and has used stringent microarray analysis methods to detect and validate a robust gene signature of infection.

HCS uses microscopy images of cells and advanced image analysis methods to detect the effects of RNAis or small chemical compounds on a cellular process of interest; in a multivariate approach, multiple cell parameters are collected, allowing for a complex analysis approach.

MetaDE was used to apply various state-of-the-art genomic meta-analysis methods to detect differentially expressed (DE) genes, including the Fisher [ 25], Stouffer, adaptively weighted statistic (AW) [ 26], maximum P-value (maxP), and the rth ordered P-value (rOP) methods [ 27].

In addition, we used an automatic response detection analysis3,38 (Poisson spike train analysis; see Methods), to detect activity onset on a trial-by-trial basis (see Supplementary Fig. 4a for an example of the application of this method on the data from Fig. 2).

They have applied a principal component analysis-based method to detect anomalies with strong correlations.

The sample size was planned using power analysis methods to allow us to detect differences between groups greater than 0.2 of one standard deviation with statistical power of 0.8.

Analytical and low-order-correlation-based measures of the transfer entropy were formed and compared to common modal analysis methods to assess their ability to detect linear dynamical changes in structures.