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Published in 2023 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.3c00240
Abstract: Markov state models represent a popular means to interpret molecular dynamics trajectories in terms of memoryless transitions between metastable conformational states. To provide a mechanistic understanding of the considered biomolecular process, these states should reflect…
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Keywords:
features markov;
study hp35;
selecting features;
case study ... See more keywords
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Published in 2021 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2021.3075533
Abstract: On a grand scale, motion trajectories are usually defined by an origin, a sequence of waypoints, and a destination. A typical example is in air traffic management (ATM), where a flight from an origin passes…
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Keywords:
trajectory modeling;
markov modeling;
trajectory;
waypoints destination ... See more keywords
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1
Published in 2022 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1009703
Abstract: Is it possible to learn and create a first Hidden Markov Model (HMM) without programming skills or understanding the algorithms in detail? In this concise tutorial, we present the HMM through the 2 general questions…
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Keywords:
hmm;
modeling hmmteacher;
hidden markov;
markov modeling ... See more keywords