CPC G16B 40/20 (2019.02) [C12Q 1/6851 (2013.01); G16B 30/00 (2019.02); G16B 40/00 (2019.02); B01L 7/52 (2013.01); G06F 3/00 (2013.01)] | 12 Claims |
1. A system configured to characterize a number of contributors to a DNA mixture within a sample, the system comprising:
a sample preparation module configured to generate initial data about the DNA mixture within the sample;
a processor comprising a number of contributors determination module, wherein the number of contributors determination module comprises a machine-learning algorithm configured to: (i) receive the generated initial data; (ii) analyze the generated initial data to determine the number of contributors to the DNA mixture within the sample, wherein the machine learning algorithm is trained to evaluate the initial data to determine the number of contributors based on a set of candidate features including all of a sample-wide peak count, a maximum number of contributors, a minimum number of contributors, a locus-specific peak count, a probability of dropout, a minimum observed peak height, and a maximum observed peak height; and
an output device configured to receive the determined number of contributors from the processor.
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