Specifically two approaches are compared – approximate method based on evaluation of simplified kinetics and a more comprehensive, simulation-based method that utilizes the evaluation of more detailed kinetic models.
Through comprehensive simulations, our method shows improved results for DE expression, in terms of false discovery rate (FDR), and sensitivity and specificity, in RNA-Seq experiments.
A comprehensive design and simulation method is required due to the complexity of BED.
In the framework of the multifactor dimensionality reduction (MDR) method, several extensions for the survival phenotype are considered and compared to the earlier MDR method through comprehensive simulation studies.
In this section, we describe (1) relevant background in genetics and modeling, (2) the GAMETES modeling approach, (3) our Ease of Detection Measure (EDM), (4) calculation of PTV and COR, (5) the incorporation of these metrics into GAMETES and the design of a more comprehensive simulation study, and (6) our methods for evaluating the utility these metrics.
Bin grand canonical Monte Carlo (Bin-GCMC) simulations are compared with conventional GCMC in a comprehensive investigation of the effects of simulation method for the description of the adsorption desorption hysteresis of argon and benzene in graphitic slit pores.
We performed comprehensive simulation studies to compare the performance of our new method, PAGAN, to that of alternative methods for alignment extension and to test how the different approaches utilize the information available in related sequences.
Through a comprehensive simulation study, we assessed the performance of two methods which relax the monotonicity assumption and two methods which employ it.
As a by-product, we will discuss the properties of the different methods based on a comprehensive simulation varying the key factors underlying the performance of the different tests.
