Likelihood ratio estimation of partial Y-STR profile matches using discrete Laplace models and marginalisation
Tóra Oluffa Stenberg Olsen, Poul Svante Eriksen, Niels Morling, Mikkel Meyer Andersen
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Aalborg UniversityORCID 0009-0005-9991-448XUnclaimed ORCID profile · follow to get notified of new preprints
5 papers
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Tóra Oluffa Stenberg Olsen, Poul Svante Eriksen, Niels Morling, Mikkel Meyer Andersen
Tóra Oluffa Stenberg Olsen, Niels Morling, Poul Svante Eriksen…·Mikkel Meyer Andersen
The paper estimates the probability of finding Y-STR profile matches and related individuals in forensic databases using simulation studies.
Malte Bodkergaard Nielsen, Poul Svante Eriksen, Helle Smidt Mogensen…·Mikkel M. Andersen
This paper introduces a Symmetric Multinomial Logistic Regression model to improve SNP genotyping accuracy and call rate with low DNA input, achieving higher performance than existing methods.
Mikkel Meyer Andersen, Poul Svante Eriksen, Niels Morling
The paper evaluates the discrete Laplace method for estimating likelihood ratios in Y-STR matches, showing it is fast and effective with large databases.
Mikkel Meyer Andersen, Steffan Noe Niikanoff Christiansen, Jeppe Dyrberg Andersen…·Niels Morling
The paper introduces the butterfly method for SNP calling using the Illumina Infinium Omni5-4 BeadChip kit, achieving high call rates and concordance with WGS data.