Sentence examples for multifactorial data are from inspiring English sources
Multifactorial data are defined as static steady-state expression profiles resulting from slight perturbations of all genes simultaneously.
The four-gene cycle (genes 5→6→8→7→5, Fig. 8A) in network 5 is an example for a difficult network motif that our approach predicts correctly only if the multifactorial data is included.
In the second DREAM4 large subchallenge, DREAM4 size 100 multifactorial, only multifactorial data were available, therefore all the methods were included in the comparison, and run as originally designed.
Multifactorial expression data are static steady-state measurements obtained by (slightly) perturbing all genes simultaneously.
On the other hand, multifactorial and time series data are usually expression profiles of an unknown initial state of genes.
The explanation for these variations in reported data are multifactorial: patient numbers, tumour type, chemo-therapeutic agent and time-point of scanning after commencing therapy have all varied.
The technique is illustrated on a complex purification process where published multifactorial data had been collected for a critical wastewater paradigm and thus may be used to test the benchmark solution.
However, the causes of missing stage data are likely multifactorial, including other characteristics than age or comorbidity.
Extensive, multifactorial data sharing is a crucial prerequisite for current and future (radiotherapy) research.
In general, our data are well in line with the multifactorial model of fears and phobias (Muris and Merckelbach 2001).
Knockout data are more informative for network inference than knockdown or multifactorial data.
