Two well known crashworthiness indicators are considered as contrasting objective functions: the Specific Energy Absorption (SEA) and the Load Ratio (LR), whose responses are approximated by multiple types of surrogate models due to their computational cost and their noise levels.
It is built around a "project file" (.proj), that may hold many data sets, several different models and the results of multiple types of analyses testing models against the data and against each other.
There are multiple types of continuous chromatography models and operations.
Several tools today use JSBML 1.0 in this way and encode multiple types of systems biology models; examples include iBioSim (Madsen et al., 2012), KEGGtranslator (Wrzodek et al., 2011) and GINSim (Gonzalez Gonzales et al., 2006).
This study focused on inflammatory pain and commonly on multiple types of experimental animal models such as inflamed animals using complete Freund's adjuvant (CFA), carrageenan, and TNF- α and on an acute pain model using capsaicin, a pain receptor TRPV1-specific agonist; RvE1 administration drastically decreased pain symptoms even at nanogram levels.
As noted in the sub-section "Multiple pathway models incorporating genomic instability", there is little evidence to indicate that models with GI, let alone models that assume multiple types of GI, yield better fit than models that do not assume GI [ 6, 89] although conclusions at variance with this have been reached by other modelling groups [ 132].
Multiple types of computational and mathematical models are used to describe heart function at different levels of details.
To simultaneously model multiple types of variance and deal with multiple groups, a model based logistic regression with over-dispersion was introduced in [ 22].
As shown in Figure 2, an ensemble scheme (wpc-index of 0.549) that integrates multiple types of data in learning the classification models outperformed classification models that use a single type of data, i.e., RNA-seq (0.446), microarray (0.392), DNA methylation (0.439), proteomic (0.317), or DNA copy number variation (0.382) alone.
However, these studies were often restricted to pairwise comparisons between two types of data and lacked a unifying framework to integrate multiple types of data in the same model.
One goal of research using induced pluripotent stem cell (iPSC) is to generate patient-specific cells which can be used to obtain multiple types of differentiated cells as disease models.
