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Background: In existing literature, prevention and prediction of heart disease have largely focused on one endpoint. However, the development of heart disease is a multi-state process that is ...
Markov state models (MSM) are a popular statistical method for analyzing the conformational dynamics of proteins including protein folding. With all statistical and machine learning (ML) models, ...
These results are confirmed by the final steady-state vector, considering 5 iterative steps. The steady state refers to the stable or equilibrium states within the Markov chain, where the ...
Spread the loveUnderstanding and calculating the steady state is crucial for various fields, including economics, engineering, and even biology. The steady state represents equilibrium or a consistent ...
In this study, two different methods to calculate steady-state probability distribution of randomly created transition probability matrices will be investigated, along with the effect of the inclusion ...
The results show that the Markov method due to its multi-state nature is effective in the conservative evaluation of risk measures so that the unavailability computed by the coupling process is higher ...
Markov state modeling reveals alternative unbinding pathways for peptide–MHC complexes ...