Since the interpretation of DNA profiles typically starts with an assessment of the number of contributors, and in the last two decades several methods have been proposed to assist with this assessment, the current article describes a relatively simple method that uses decision trees, which is fast to run and fully transparent to a forensic analyst.
This research project used mixtures from the publicly available PROVEDIt dataset to demonstrate the performance of the method. The project showed that the performance of the method crucially depends on the performance of filters for stutter and other artefacts. The project compared the performance of the decision-tree method with other published methods for the same dataset. (publisher abstract modified)
- Accuracy of forensic pathologists in incorporating post-mortem CT (PMCT) in forensic death investigation
- Use of hormone-specific antibody probes for differential labeling of contributor cell populations in trace DNA mixtures
- Urinary Excretion Profile of Cannabinoid Analytes Following Acute Administration of Oral and Vaporized Cannabis in Infrequent Cannabis Users