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ICON: An Adaptation of Infinite HMMs for Time Traces with Drift
Bayesian nonparametric methods have recently transformed emerging areas within data science. One such promising method, the infinite hidden Markov model (iHMM), generalizes the HMM that itself has become a workhorse in single molecule data analysis. The iHMM goes beyond the HMM by self-consistently...
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| Izdano u: | Biophys J |
|---|---|
| Glavni autori: | , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
The Biophysical Society
2017
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5443975/ https://ncbi.nlm.nih.gov/pubmed/28538149 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.bpj.2017.04.009 |
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