A Bayesian approach to quantifying uncertainty from experimental noise in DEER spectroscopy
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Singular Value Decomposition Method to Determine Distance Distributions in Pulsed Dipolar Electron Spin Resonance.Analytical solution of the PELDOR inverse problem using the integral Mellin transform.A New Wavelet Denoising Method for Experimental Time-Domain Signals: Pulsed Dipolar Electron Spin Resonance.A dynamic mechanism for allosteric activation of Aurora kinase A by activation loop phosphorylation.Optimal Tikhonov regularization for DEER spectroscopy.Confidence Analysis of DEER Data and Its Structural Interpretation with Ensemble-Biased MetadynamicsDeep neural network processing of DEER data
P2860
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P2860
A Bayesian approach to quantifying uncertainty from experimental noise in DEER spectroscopy
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
A Bayesian approach to quantif ...... tal noise in DEER spectroscopy
@en
A Bayesian approach to quantif ...... al noise in DEER spectroscopy.
@nl
type
label
A Bayesian approach to quantif ...... tal noise in DEER spectroscopy
@en
A Bayesian approach to quantif ...... al noise in DEER spectroscopy.
@nl
prefLabel
A Bayesian approach to quantif ...... tal noise in DEER spectroscopy
@en
A Bayesian approach to quantif ...... al noise in DEER spectroscopy.
@nl
P2860
P1476
A Bayesian approach to quantif ...... tal noise in DEER spectroscopy
@en
P2860
P356
10.1016/J.JMR.2016.06.021
P577
2016-07-02T00:00:00Z