Author: Sofia Morfopoulou; Vincent Plagnol
Title: Bayesian mixture analysis for metagenomic community profiling. Document date: 2014_7_25
ID: 058r9486_21
Snippet: The primary aim for metaMix is to be a diagnostic tool and to answer whether a species is present or absent from the mixture we study. As a secondary aim, we are also interested in estimating accurately the relative abundance of the present organisms. We can assess the abundance estimates produced by the methods by using error measures such as the relative root mean square error, RRMSE and the average relative error, AVGRE. For all methods, when .....
Document: The primary aim for metaMix is to be a diagnostic tool and to answer whether a species is present or absent from the mixture we study. As a secondary aim, we are also interested in estimating accurately the relative abundance of the present organisms. We can assess the abundance estimates produced by the methods by using error measures such as the relative root mean square error, RRMSE and the average relative error, AVGRE. For all methods, when the exact strain was not identified but the correct species or genus was, we used this abundance.
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