PMC:1647278 / 8998-9749 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/1647278","sourcedb":"PMC","sourceid":"1647278","source_url":"https://www.ncbi.nlm.nih.gov/pmc/1647278","text":"Considering that Y is generated through a Markov model of parameter π, the main goal of this paper is to study the distribution of SN, the statistic S computed using the estimators μN and πN, and the consequences of its variability in projects using pattern statistics. We first present in details how the delta-method can be used to get a Gaussian approximation for the distribution of SN (using a binomial approximation to compute the pattern statistics). Then these approximations are validated through simulations and, at last, we consider a classical pattern study (finding the most over-represented patterns of a given size) and we evaluate the detrimental effect of parameter estimations both in terms of true positive rate and rank accordance.","tracks":[]}