VBDCMM

We develop Bayesian version of double chain markov model using variational inference technique.
The method is used to analyze H-DNA dynamics which shows dynamic disorder due to their complex free energy landscape.
The method can be applied to any one dimensional time traces.
The result is published in PLoS Computational Biology journal.
- Wonseok Hwang et al, Decoding Single Molecule Time Traces with Dynamic Disorder, PLoS Comp. Biol. 2016

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
__pycache__		__pycache__
data/HDNA KINETICS		data/HDNA KINETICS
.gitignore		.gitignore
HowToInstall.pdf		HowToInstall.pdf
HowToUse.pdf		HowToUse.pdf
README.md		README.md
README.pdf		README.pdf
VBDCMM_gui_functions.py		VBDCMM_gui_functions.py
VBDCMM_gui_load.py		VBDCMM_gui_load.py
VBDCMM_gui_simul.py		VBDCMM_gui_simul.py
basic_functions.py		basic_functions.py
c_dcmm4vb_func.pyx		c_dcmm4vb_func.pyx
c_dcmm_viterbi_func.pyx		c_dcmm_viterbi_func.pyx
c_hmm_func.pyx		c_hmm_func.pyx
setup_c_dcmm4vb.py		setup_c_dcmm4vb.py
setup_c_dcmm_viterbi.py		setup_c_dcmm_viterbi.py
setup_c_hmm.py		setup_c_hmm.py
vbDCMM_global_func.py		vbDCMM_global_func.py
vbDCMM_random_1_func.py		vbDCMM_random_1_func.py

whwang299/VB-DCMM