Improving the Estimation of Bacterial Allele Frequencies
Year: 2001
Type: letter
Abstract: RANNALA et al. (2000) develop a useful Poisson process model for estimating allele frequencies in bacterial populations using presence/absence data on infected hosts. However, they also show that the estimators they derive suffer from bias. In this letter we derive different estimators from the same model and show these estimators to be preferable. Rannala et al. (2000) write the log-likelihood function for allele frequencies p = (p1,..., pk) and Poisson rate parameter λ as ...
Source: Genetics
Authors: Eric C Anderson, Paul A Scheet
Institution: University of Washington
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2140706710