… To obtain the best experience, we recommend you use a more up … time, can be well suited
for the use of Bayesian statistical … We then explore the barriers to their wider use and present a …

… Computational approaches have the potential to … To see how our novel predictions related
to known microtubule-… database 25 we extracted the “preferred term” side effects for each drug…

… in this study the benefits of using Bayesian approaches in … a combined experimental-computational
approach to quantify … action potential duration, rather than measures of viability such …

… long time to complete [37,38]. … study introduces a sophisticated computational approach to
cancer drug discovery by leveraging an XGBoost model enhanced with Bayesian Optimization …

… We examine the practical identifiability of parameters in a … probes to show real-time
progression through the cell cycle [4]. … using an optimization-based, profile likelihood approach. In …

… graphs, and either return the best one found (a point estimate), or … Our computational approach
reveals the importance of … In the present study we employed time series microarray gene …

… The administration time can be best coordinated to the daily … as an effective treatment
optimization tool, which could increase … For time-domain approaches, the time series is explored …

… Additionally, we explore how computational approaches help … ancestor at time zero, which
lives for a certain period before … best fit of an Erlang distribution to the experimental cell cycle …

… the best results, with drastic improvements when using Bayesian … All LM2-4 LUC+ implanted
animals used in this study are vehicle… The number of injected cells at time t inj = 0 was 10 6 , …

… This review summarizes recent computational approaches applied … a period of time to study
growth and development (eg time … Thus, an integrative approach is strongly recommended to …