Sentence examples for multifactorial data from inspiring English sources

Extensive, multifactorial data sharing is a crucial prerequisite for current and future (radiotherapy) research.

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.

Network 5 demonstrates the utility of the multifactorial data (Fig. 9) for network reconstruction.

Multifactorial data might correspond for example to expression profiles obtained from different patients or biological replicates.

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 this paper we will focus on the five simulated 10-gene networks and perform inference based on wild type and multifactorial perturbation data (jointly considered to be observational data) as well as knock-out data.

The third sub-challenge involved five other 100-gene networks provided with multifactorial perturbations data only.

Multifactorial expression data are static steady-state measurements obtained by (slightly) perturbing all genes simultaneously.

In this paper, we focus on multifactorial perturbation data as generated for the DREAM4 In Silico Size 100 Multifactorial subchallenge.

We developed GENIE3, a procedure that aims at recovering a gene regulatory network from multifactorial expression data.