Model properties underlying non-identifiability in single channel inference.
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.
Edeson
R O
RO
Department of Anesthesia, Sir Charles Gairdner Hospital, Nedlands, Australia.
Ball
F G
FG
Yeo
G F
GF
Milne
R K
RK
Davies
S S
SS
D007473:Ion Channels / Q000378:metabolism*; D007700:Kinetics; D008390:Markov Chains; D008433:Mathematics; D008954:Models, Biological
D007473:Ion Channels