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A hidden Markov model for single particle tracks quantifies dynamic interactions between LFA-1 and the actin cytoskeleton.
The extraction of hidden information from complex trajectories is a continuing problem in single-particle and single-molecule experiments. Particle trajectories are the result of multiple phenomena, and new methods for revealing changes in molecular processes are needed. We have developed a practica...
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Main Authors: | , , |
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Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
Public Library of Science (PLoS)
2009-11-01
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Colecção: | PLoS Computational Biology |
Acesso em linha: | http://europepmc.org/articles/PMC2768823?pdf=render |
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