Comments (2)
clonker
commented on July 26, 2024
Not directly, no; the data has to live in some vector space. If you can formulate it that way then tica should be (at least technically) applicable.
You can also try vampnets to find a non-ragged embedding of your data and then use tica on top of that.
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ryankzhu
commented on July 26, 2024
Okay thank you very much for the suggestion!
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Related Issues (20)
- Error when installing from local repo via pip HOT 4
- TICA fit-once transform-many HOT 6
- Automate generating bdist wheels HOT 1
- Allowing weights for VAMP dimensionality reduction HOT 6
- Error importing deeptime with scikit-learn 1.2.0 HOT 4
- About applying Deeptime to molecular dynamics simulation trajectories on protien HOT 3
- Handling parallel simulations HOT 1
- Implied timescales from deeptime.decomposition.TICA HOT 2
- [Bug] At least one of the given states is not contained in this model HOT 2
- VAMPnet gives highly fluctuating score results HOT 1
- Bayesian Markov models give different MFPT
- How to compute any actual quantity of the coarse-grained kinetics with employing the fuzzy memberships? HOT 7
- Installation without conda and pip HOT 3
- Which version of VAMPNets is there? HOT 1
- deeptime cannot be installed on Mac computers with Apple Silicon and Python 3.12.0. HOT 4
- Does one need identical features to compare between related systems? HOT 4
- Example/tutorial for dealing with MD trajectories HOT 1
- Cross Validation score for MaximumLikelihoodMSMs and BayesianMSMs HOT 2
- KoopmanWeightingEstimator partial_fit method throws ValueError HOT 2
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