After attempting multiple parameter combinations, the likelihood analysis of spore germination was abandoned.
When fitting the full model, the results showed that there are multiple parameter combinations that give the same likelihood.
Exploring the contribution of each of these parameters in regulating target gene expression revealed that multiple parameter combinations could simulate the expression patterns observed in vivo.
Multiparametric testing the assessment of multiple parameters in combination (including baseline maternal characteristics)—is required to achieve adequate predictive performance, as is the case with first trimester combined screening for aneuploidy [ 18].
To this end, we generated a range of synthetic data sets using the model from [ 8] applying multiple parameter allocations in many combinations (Table 1) using default settings, i.e., cmean=7/10 is chosen for low/high expression.
In reality, combinations of multiple parameter changes may be responsible for the VAD phenotype, which can be readily simulated using the model.
An approach based on the generation of a number of alignments by the same algorithm but under different parameter combinations was called "multiple analysis method" by Lee [ 33].
Consequently, Lee 21 advocated an approach based on the generation of several alignments by the same algorithm but under different parameter combinations, which he called "multiple analysis method".
These multiple parameters and their combination were relevant to comprehend the effect of emotions on psychophysiological data.
This is largely because unlike many other cancers, haematological neoplasms are diagnosed using multiple parameters, including a combination of histology, cytology, immunophenotyping, cytogenetics, imaging, and clinical data.
This is largely a reflection of the fact that unlike many other cancers, haematological neoplasms are diagnosed using multiple parameters including a combination of histology, cytology, immunophenotyping, cytogenetics, imaging and clinical data.
