Biochemical rates inference from trajectory data
Medical College of Georgia, Georgia Regents University
(October 4, 2011 10:30 AM - 11:20 AM)
For a given biochemical network of interest it is often desirable to estimate its reaction constants. I shall discuss several different approaches to rate constants estimation from partial trajectory data. The presentation will discuss the LSE as well Bayesian and MLE approaches as well as possible conditions on the data process which guarantee identifiability and estimators consistency. We shall also consider ways of approximating the likelihood of a partially observed biochemical network with certain other likelihoods (e.g., Gaussian) for which inference problem is simplified.