Sentence examples for multiple data analysis from inspiring English sources

In order to provide an overall view of the functional organization of the face-sensitive areas, it is necessary to conduct a comprehensive study that taps into the pivotal functional properties of all the face-sensitive areas, within the context of the same experimental design, and uses multiple data analysis approaches.

YW carried out multiple data analysis and assisted manuscript preparation.

The grand average waveforms were calculated with "multiple data analysis" in the NIRS system.

MAQC-II is a collaborative research project that includes individuals from multiple data analysis teams (DATs) to generate gene expression signatures for three clinical datasets and three toxicogenomics datasets [ 2], and offers a valuable chance for studying the relationship between gene signatures and their genes.

Given the existence of multiple sequencing platforms and multiple data-analysis pipelines for next-generation sequencing, researchers and clinicians may be under the impression that these methods all work similarly to identify genetic variants from personal genomes.

Multiple response data analysis techniques were used to identify and prioritize the multiple reasons given by respondents for not attending ANC clinics.

Multivariate, univariate and multiple univariate data analysis techniques were used for defining regional rural urban interfaces.

In addition, a new technique for performing multiple bad data analysis is proposed in which the original level of measurement redundancy is maintained unaltered during the estimation process.

In general, our methods offer a novel, effective and unified solution to multiple fMRI data analysis tasks including activation detection, de-activation detection, and functional network identification.

The barriers reported for not visiting any ANC provider were assessed vis-à-vis respondents' social demographic characteristics, using multiple response data analysis techniques and Pearson chi-square test at 5% significance level.

Multiple MS data analysis tools are available (Dunn et al., 2012), including widely used open source software such as mzMine (mzmine.sourceforge.net), mzMatch (mzmatch.sourceforge.net) and XCMS (metlin.scripps.edu), and commercial software such as SIEVE (www.thermo.com), MassHunter (www.chem.agilent.com) and MarkerLynx (www.waters.com).