2002
Applying Hidden Markov Models to the Analysis of Single Ion Channel Activity
Venkataramanan L, Sigworth F. Applying Hidden Markov Models to the Analysis of Single Ion Channel Activity. Biophysical Journal 2002, 82: 1930-1942. PMID: 11916851, PMCID: PMC1301989, DOI: 10.1016/s0006-3495(02)75542-2.Peer-Reviewed Original ResearchConceptsCorrelated background noiseHidden Markov ModelDigital inverse filterMarkov model parametersDiscrete timeBaum-Welch algorithmMarkov modelComputational intensityDeterministic interferenceModel parametersInverse filterMultiple data setsAlgorithmPrevious resultsPractical applicationsNoise ratioState transitionsSharp frequencyData setsChannel dataSingle ion channel currentsNoiseExtensionRandomnessBackground noise
1998
Identification of hidden Markov models for ion channel currents. I. Colored background noise
Venkataramanan L, Walsh J, Kuc R, Sigworth F. Identification of hidden Markov models for ion channel currents. I. Colored background noise. IEEE Transactions On Signal Processing 1998, 46: 1901-1915. DOI: 10.1109/78.700963.Peer-Reviewed Original ResearchBaum-Welch algorithmMarkov schemeMarkov processMarkov modelIon channel kineticsColored background noiseUnbiased estimatesHMM parametersBiased estimatesSignal processingHMM approachAlgorithmTraditional algorithmsNoiseNoise ratioIon channel currentsSingle ion channel currentsConventional analysisBackground noiseCurrentParametersEstimatesModelEstimationSchemeA Maximum-Likelihood Approach to Single-Particle Image Refinement
Sigworth F. A Maximum-Likelihood Approach to Single-Particle Image Refinement. Journal Of Structural Biology 1998, 122: 328-339. PMID: 9774537, DOI: 10.1006/jsbi.1998.4014.Peer-Reviewed Original Research