RT Journal Article
SR Electronic
T1 Model properties underlying non-identifiability in single channel inference
JF Proceedings of the Royal Society of London. Series B: Biological Sciences
JO Proc Biol Sci
FD The Royal Society
SP 21
OP 29
DO 10.1098/rspb.1994.0004
VO 255
IS 1342
A1
A1
A1
A1
A1
YR 1994
UL http://rspb.royalsocietypublishing.org/content/255/1342/21.abstract
AB Models of ion channel kinetics subserve inferential methods applied to patch clamp data. For Markov models the density function of a sojourn time in a class of states is a mixture of exponentials. Determination of kinetic parameters from density functions may be complicated by non-uniqueness of solutions. This non-identifiability is investigated analytically for a class of two states, assuming detailed balance; relations between model properties, observable density parameters, and non-uniqueness are presented. The results are further developed in terms of similarity transform methods. Additional information provided by joint distributions is discussed. An example is given where identifiability of a model can be demonstrated explicitly. Attention is drawn to instances where the number of components in a density function may be misleading when used to infer the number of underlying states.