Sentence examples for multifactorial analysis methods from inspiring English sources

Often the first stages of biomarker screening involves selecting the genes showing the largest and/or most significant fold changes in expression between different experimental groups, and studying the differences in global expression profiles using multifactorial analysis methods such as Principal Component Analysis (PCA) and ANOVA.

Multifactorial survival analysis methods such as Cox proportional hazard or accelerated failure time models (Cox, 1972) taking into account variation in multiple specified conditions can also be used.

The impact of different preprocessing choices is assessed on a real world dataset from direct marketing using a multifactorial analysis of variance on various performance metrics and method parameterisations.

The explanation for these variations in reported data is multifactorial: patient number, tumor type, chemotherapeutic agent, the follow-up imaging time of MRI after commencing therapy, and the analysis methods, have all varied.

Data was analysed using a mixed, multifactorial analysis of variance (ANOVA) with repeated measurements.

Data were processed by means of a multifactorial analysis of variance (ANOVA).

A multifactorial analysis of variance was performed using the 2k factorial design, always considering the C4 as the lower level.

Gitools includes several analysis methods.

DEG and SVT provided data and advice regarding multifactorial analysis.

The necessity of multifactorial analysis is stressed, and an example of such analysis is presented.

Soussi et al. discussed a multifactorial analysis of p53 alterations in human cancers [ 54].