Abstract: Systems and methods of the present disclosure enable automated analyses of a biological sample using a processing system by receiving signal profiles of each allele of a set of cells in the sample. A set of allele vectors are determined based on a mapping of the magnitude of the measurement of each signal profile at each locus to an index location. A set of cell vectors is generated by concatenating each allele vector of each cell. A cluster model is utilized to generate clusters of the signal profiles based on the set of cell vectors to represent contributors. A first likelihood of a target contributor matching a contributor and a second likelihood of the target contributor not matching any contributor are determined by comparing the target signal profile to each cluster. A likelihood ratio is determined from a ratio of the first likelihood and the second likelihood.

Abstract: Computerized analysis methods and systems to implement the computerized analysis methods are disclosed herein. Specifically, the present disclosure relates to systems and methods for determining an unknown characteristic of a sample.

Abstract: Computerized analysis methods and systems to implement the computerized analysis methods are disclosed herein. Specifically, the present disclosure relates to systems and methods for determining an unknown characteristic of a sample.