A Comparison of the Model Differences between EuroForMix and STRmix

John Buckleton,Mateusz Susik,James Curran,Kevin Cheng,Duncan Taylor,Jo-Anne Bright,Hannah Kelly,Richard Wivell

SSRN Electronic Journal（2023）

Institute of Environmental Science and Research | University of Auckland

Cited 0|Views14

Abstract

There is interest in comparing the output, principally the likelihood ratio, from the two probabilistic genotyping software EuroForMix (EFM) and STRmix™. Many of these comparison studies are descriptive and make little or no effort to diagnose the cause of difference. There are fundamental model differences between EFM and STRmix™ that are causative of any likelihood ratio differences. These model differences are easily identified, and it is certainly possible to arbitrate on whether the models in none, one, or both software are the more supported. There is little point in highlighting the output differences without any effort to identify the cause as this can trigger unsubstantiated concern in those cases where a different answer is obtained. In this paper, we further analyse the models within EFM and STRmix™ and explain their differences.

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euroformix,model differences

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We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
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