<p>(A) Simulation on the effect of replicate sample size and interaction strength. The black and red dashed lines indicate the base line (AUC = 0.5) and a high prediction performance (AUC = 0.8), respectively. The performance of <i>PAN</i>, as measured by AUC, increases along with the number of replicates and interaction strength. (B) Simulation on the effect of prior incorporation. The prediction accuracy (AUC = 0.65) of the global model is marked by the black dashed line. The performance is improved gradually by bringing in more prior information about functional interactions, but reduced by adding more noise in the prior.</p
<p><i>A</i>. Underlying pre-criterion competence (Y-axis) plotted as a function of the pre-criterion...
Comparative simulation studies are workhorse tools for benchmarking statistical methods, but if not ...
Molecular simulations are a computational technique used to investigate the dynamics of proteins and...
A: Encoding models used in simulation 1. B: Steps taken in each repetition of simulation 1. See main...
<p>(A) Correlation between simulated <i>T</i><sub>m</sub> and experimental <i>T</i><sub>m</sub>, ave...
<p>(A) Evolution of knowledge. The odds for the true hypothesis increase at the slowest rate for ran...
A: Number of true predictors that had a non-zero coefficient estimate (Oracle = 5). B: Number of fal...
<p><b>A</b>, For 100 repetitions of simulation 1 without feedback inhibition, the mean ⟨<i>v</i><sub...
<p>Bias, root mean squared error (RMSE) and coefficient of variation (CV) are shown for all model pa...
A: Encoding model for simulation 2. See main text for details. Panels B-E show the decoding results ...
<p>(A-B) These panels depict the expected power for between- and within-subject designs using 100 st...
Results of simulation studies evaluating the performance of statistical methods can have a major imp...
a<p>In each scenario (apart from 5c and 5d) the baseline regression coefficient was chosen to equal...
Both fixed and random effects models have been used to simulate the meta-analyses. The fixed effects...
<p>Each line represents a different model composed of a pair of Reinforcement Learning systems. Each...
<p><i>A</i>. Underlying pre-criterion competence (Y-axis) plotted as a function of the pre-criterion...
Comparative simulation studies are workhorse tools for benchmarking statistical methods, but if not ...
Molecular simulations are a computational technique used to investigate the dynamics of proteins and...
A: Encoding models used in simulation 1. B: Steps taken in each repetition of simulation 1. See main...
<p>(A) Correlation between simulated <i>T</i><sub>m</sub> and experimental <i>T</i><sub>m</sub>, ave...
<p>(A) Evolution of knowledge. The odds for the true hypothesis increase at the slowest rate for ran...
A: Number of true predictors that had a non-zero coefficient estimate (Oracle = 5). B: Number of fal...
<p><b>A</b>, For 100 repetitions of simulation 1 without feedback inhibition, the mean ⟨<i>v</i><sub...
<p>Bias, root mean squared error (RMSE) and coefficient of variation (CV) are shown for all model pa...
A: Encoding model for simulation 2. See main text for details. Panels B-E show the decoding results ...
<p>(A-B) These panels depict the expected power for between- and within-subject designs using 100 st...
Results of simulation studies evaluating the performance of statistical methods can have a major imp...
a<p>In each scenario (apart from 5c and 5d) the baseline regression coefficient was chosen to equal...
Both fixed and random effects models have been used to simulate the meta-analyses. The fixed effects...
<p>Each line represents a different model composed of a pair of Reinforcement Learning systems. Each...
<p><i>A</i>. Underlying pre-criterion competence (Y-axis) plotted as a function of the pre-criterion...
Comparative simulation studies are workhorse tools for benchmarking statistical methods, but if not ...
Molecular simulations are a computational technique used to investigate the dynamics of proteins and...