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MPCA is a multilinear extension of Principal Component Analysis (PCA) [5] that analyzes the interaction between multiple factors utilizing a tensor framework.
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There were multiple possible sources of error in the exposure assessment, including the emission factors utilized, the vehicle traffic estimates and the use of a single calendar year to represent exposures that occurred at various times during the study period.
Further insight into how C. neoformans and HIV-1 associated comorbidity factors utilize the host cholinergic α7 nAChR pathway to augment their virulence capacity will advance our understanding of the pathogenesis and therapeutics of CNS disorders caused by multiple comorbidities.
The combined data suggest a scenario that utilizes multiple factors for melanoma growth and angiogenesis.
The two-factor ANOVA used in this study to determine the influence of AtNHX1 is considered a powerful tool for the analysis of microarray experiments with multiple factors [ 11], as it utilized all 48 microarray data points to distinguish between an effect of genotypes across all treatments (main effect) and a treatment-dependent effect of lines (genotype × treatment interaction).
In a second test, we utilized STAP's capability of analyzing cases where multiple factors are bound.
A maximum differential technique was utilized to measure the relative preference or importance of multiple factors [ 9].
Therefore, utilizing this literature base, our study was undertaken to further probe multiple factors using a methodology that allowed for both a quantitative and qualitative assessment.
To obtain a better picture of the chromatin binding landscape of these factors, we utilized a clustering approach using seqMINER [ 32], which compares the presence of multiple factors at a given chromosomal location within a 600-bp window and clusters together those binding sites that share a similar pattern of factor localization.
There were multiple factors.
Multiple factors can affect speeds.
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