Index of papers in PLOS Comp. Biol. that mention
  • simulated data
Alan L. Hutchison, Mark Maienschein-Cline, Andrew H. Chiang, S. M. Ali Tabei, Herman Gudjonson, Neil Bahroos, Ravi Allada, Aaron R. Dinner
Conclusions
For both simulated data and a circadian metadataset [27] the resulting empirical ITK_CYCLE with asymmetry search eXhibits the greatest sensitivity among the methods that we evaluated.
Discussion
They test the methods with simulated data and experimental data for the metabolic cycle in yeast, circadian rhythms in the mouse, and the root clock in the flowering plant Arabidopsis thaliana (see [28] for references).
Discussion
They show that RAIN outperforms the original ITK_CYCLE method as well as a cosine-fitting method [62] for simulated data consisting of sinusoidal and ramp waveforms.
Introduction
The simulated data allow us to examine how performance varies with sampling density, number of replicates and/ or periods, noise level, and waveform.
Simulated data benchmarks
Simulated data benchmarks
Simulated data benchmarks
Examples of simulated data .
Simulated data benchmarks
shows that the ITK_CYCLE methods have higher-quality classification ability than F24 and ANOVA for these simulated data .
Supporting Information
AUROCs for simulated data with 25% noise (standard deviation of Gaussian noise as a percent of amplitude).
Supporting Information
Simulated data With rhythmic time series Without asymmetry (A) or With evenly distributed asymmetry (B) was tested With different methods.
Supporting Information
Simulated data With rhythmic time series Without asymmetry (left, A and C) or With evenly distributed asymmetry (right, B and D) was tested With different asymmetries.
simulated data is mentioned in 10 sentences in this paper.
Topics mentioned in this paper:
Adam J. Kucharski, W. John Edmunds
Discussion
Because we used simulated data to infer parameters, and hence had knowledge of the true model, we were also assuming that these contacts were reported accurately.
Estimating transmissibility and pre-existing immunity
We simulated data using different assumptions about age-specific infection rates but left the inference model unchanged.
Estimating transmissibility and pre-existing immunity
Next, we simulated data using two ages groups, but with transmission based on the average number of reported physical contacts across 8 European countries in the POLYMOD study (S1B Fig.
simulated data is mentioned in 3 sentences in this paper.
Topics mentioned in this paper:
Tae J. Lee, Jeffrey Wong, Sena Bae, Anna Jisu Lee, Allison Lopatkin, Fan Yuan, Lingchong You
Characteristic power-law parameters describe uptake in different cell lines
Changes in many kinetic parameters associated with the Zipper mechanism can be mapped to changes in the power-law parameters (Fig 4A; simulated data in 84C Fig).
Log 1IKM
Simulated data presented in S4C Fig (B) Power-law parameters for different hosts and bacterial strains.
Supporting Information
(Left) Relationship between bacterial uptake and A-R. (Right) Relationship between probability (uptake/MOI) and AR calculated from simulated data .
simulated data is mentioned in 3 sentences in this paper.
Topics mentioned in this paper:
Adam S. Shai, Costas A. Anastassiou, Matthew E. Larkum, Christof Koch
A phenomenological model
By directly fitting tuft-constant planes of the simulation data (horizontal planes of Fig.
A phenomenological model
The sigmoidal functions found by fitting the form of the entire composite equation to the simulation data fit the extracted M and T values well (Fig.
A phenomenological model
This points to the strength of the composite model, as the same parameters can be found from the simulation data in two different ways.
simulated data is mentioned in 3 sentences in this paper.
Topics mentioned in this paper:
Matthew Hartfield, Samuel Alizon
Comparison of analytical results with simulations data
Comparison of analytical results with simulations data
Comparison of analytical results with simulations data
3 compares the full analytical solution (Equation 7, with H given by Equation 10) against simulation data .
Simulation methods
We verified our analytical solution by comparing it to simulation data .
simulated data is mentioned in 3 sentences in this paper.
Topics mentioned in this paper: