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https://github.com/choderalab/msm-mfpt

Evaluating MSM-estimated mean first passage times

https://github.com/choderalab/msm-mfpt

Science Score: 13.0%

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Repository

Evaluating MSM-estimated mean first passage times

Basic Info
  • Host: GitHub
  • Owner: choderalab
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 594 MB
Statistics
  • Stars: 3
  • Watchers: 9
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Created almost 9 years ago · Last pushed over 6 years ago

https://github.com/choderalab/msm-mfpt/blob/master/ 

# msm-mfpt
Evaluating MSM-estimated mean first passage times


Here we will evaluate mean-first-passage-time estimates from Markov State Models and milestone-based variants. We also evaluate and propose methods for selecting the milestones.

Defining states
In the future we can consider another clustering strategy accounting for uncertainties in rates:
Improved coarse-graining of Markov state models via explicit consideration of statistical uncertainty
http://aip.scitation.org/doi/abs/10.1063/1.4755751

Owner

  • Name: Chodera lab // Memorial Sloan Kettering Cancer Center
  • Login: choderalab
  • Kind: organization
  • Email: john.chodera@choderalab.org
  • Location: Memorial Sloan-Kettering Cancer Center, Manhattan, NY

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