A probabilistic clustering algorithm is proposed for the analysis of forensic DNA mixtures in which individual cells are isolated and short tandem repeats are amplified using the polymerase chain reaction to generate single cell electropherograms. The task of the algorithm is to use the peak height information in the electropherograms to group the cells according to their contributors. Using a recently developed experimental set of individual cell electropherograms, a large set of simulations shows that the proposed clustering algorithm has excellent performance in correctly grouping single cells, and for assigning likelihood ratios for persons of interest (of known genotype).

翻译：本文提出一种概率聚类算法，用于法医DNA混合物的分析，其中单个细胞被分离，并通过聚合酶链式反应扩增短串联重复序列以生成单细胞电泳图。该算法的任务是利用电泳图中的峰高信息，根据贡献者对细胞进行分组。使用最近开发的单细胞电泳图实验数据集，大量模拟表明，所提出的聚类算法在正确分组单细胞以及为关注人员（已知基因型）分配似然比方面表现出色。