Lazzeroni L C, Arnheim N, Schmitt K, Lange K
Department of Biostatistics, School of Public Health, University of California, Los Angeles.
Am J Hum Genet. 1994 Sep;55(3):431-6.
This paper explains how multipoint likelihoods can be computed for sperm-typing data. Experimental errors such as multiple sperm per tube, inadequate amplification, and contamination by exogenous DNA are explicitly taken into account. By limiting the number of sperm theoretically possible per tube to a predetermined maximum and by assuming no chiasma interference, maximum-likelihood estimation can be carried out rapidly using the theory of hidden Markov chains.
本文解释了如何针对精子分型数据计算多点似然性。明确考虑了诸如每管多个精子、扩增不足以及外源DNA污染等实验误差。通过将理论上每管可能的精子数量限制为预定的最大值,并假设不存在交叉干扰,利用隐马尔可夫链理论可以快速进行最大似然估计。