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- W2950552956 abstract "We demonstrate an application of a core notion of information theory, typical sequences and their related properties, to analysis of population genetic data. Based on the asymptotic equipartition property (AEP) for nonstationary discrete-time sources producing independent symbols, we introduce the concepts of typical genotypes and population entropy and cross entropy rate. We analyze three perspectives on typical genotypes: a set perspective on the interplay of typical sets of genotypes from two populations, a geometric perspective on their structure in high dimensional space, and a statistical learning perspective on the prospects of constructing typical-set based classifiers. In particular, we show that such classifiers have a surprising resilience to noise originating from small population samples, and highlight the potential for further links between inference and communication." @default.
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- W2950552956 date "2017-04-01" @default.
- W2950552956 modified "2023-10-18" @default.
- W2950552956 title "From typical sequences to typical genotypes" @default.
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- W2950552956 doi "https://doi.org/10.1016/j.jtbi.2017.02.010" @default.
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