Analysis of single ion channel data incorporating time-interval omission and sampling.
Hidden Markov models are widely used to describe single channel currents from patch-clamp experiments. The inevitable anti-aliasing filter limits the time resolution of the measurements and therefore the standard hidden Markov model is not adequate anymore. The notion of time-interval omission has been introduced where brief events are not detected. The developed, exact solutions to this problem do not take into account that the measured intervals are limited by the sampling time. In this case the dead-time that specifies the minimal detectable interval length is not defined unambiguously. We show that a wrong choice of the dead-time leads to considerably biased estimates and present the appropriate equations to describe sampled data.
The
Yu-Kai
YK
Institut für Physik, Universität Freiburg, Germany. yuki@fdm.uni-freiburg.de
Timmer
Jens
J
D000465:Algorithms; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D015640:Ion Channel Gating / Q000502:physiology*; D007473:Ion Channels / Q000502:physiology*; D008390:Markov Chains; D008564:Membrane Potentials / Q000502:physiology*; D008954:Models, Biological; D018408:Patch-Clamp Techniques / Q000379:methods*; D018401:Sample Size; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors
D007473:Ion Channels