A mismatch between experimental and calculated classification is called "false positive" (FP, when ligand is an experimental "non-inhibitor," but predicted as "inhibitor") or "false negative" (FN, when ligand is an experimental "inhibitor," but predicted as "non-inhibitor").
DOI: http://dx.doi.org/10.7554/eLife.08351.012 Effects in preclinical studies can fail clinical generalization because of bias or random variation (internal validity), a mismatch between experimental operations and the clinical scenario modeled (construct validity), or idiosyncratic causal mediators in an experimental system (external validity) (Henderson et al., 2013).
Although some offsets were observed with a degree of model mismatch, the experimental results agreed well with predictions.
Flux analysis is further conducted to identify the dominant reaction pathways and the reactions responsible for the mismatch of experimental and simulated data.
It has been shown that including the MTF and a Gaussian blur can account for the so-called Stobbs factor [38], the ubiquitous contrast mismatch between experimental and simulated images [39].
In order to resolve the model mismatch with experimental data, here we utilize the simultaneous optimization – model correction (SOMC) method in which process optimization is carried out in tandem with model correction using data obtained from experimental evaluations.
We address the mismatch between experimental observations and the predictions of our evolutionary model on tumor composition.
Nodes that oscillate (because e.g. of a negative feedback loop, see below) never reach the steady state and are therefore penalized as mismatches to experimental data.
Briefly, 300 ng tumour and reference DNAs, sex-mismatch as experimental control, were labelled by random priming (Bioprime DNA Labelling System, Invitrogen, Breda, NL), each in a volume of 50μL.
Notably, for all of these mismatches, the experimental results show that the single or double gene mutant strains can restore growth if additional compounds are added to the growth medium, while the model predictions imply that these genes remain essential or synthetic lethal even in the presence of these compounds.
