Internal algorithm variability and among‐algorithm discordance in statistical haplotype reconstruction
Internal algorithm variability and among‐algorithm discordance in statistical haplotype reconstruction
复制标题
统计单倍型重建中的内部算法变异性和算法间不一致
DOI：
10.1111/j.1365-294x.2009.04147.x
复制
发表时间：
2009
影响因子：
4.9
通讯作者：
De
中科院分区：
文献类型：
--
作者：
Zushi Huang;Ya‐Jie Ji;De
统计单倍型推断的潜在有效性使其成为过去十年来积极探索的领域。统计推理有几个复杂性，包括：相同的算法可以对同一数据集产生不同的解，这反映了算法的内部变异性；不同的算法可能对同一数据集给出不同的解，反映了算法之间的不一致性；算法本身无法评估解的可靠性，即使它们是唯一的，这是所有推理方法的普遍限制。为了增加统计推断结果的可信度，共识策略似乎是处理这些问题的有效手段。几位作者以不同的侧重点对此进行了探讨。在这里，我们讨论了最近分别检查内部算法可变性和算法间不一致性的两项研究，并根据Orzack(2009)的评论评估了这些分析的不同结果。在开发出其他更好的方法之前，这两种方法的结合应该会提供一种实用的方法来增加统计单倍型结果的置信度。
The potential effectiveness of statistical haplotype inference makes it an area of active exploration over the last decade. There are several complications of statistical inference, including: the same algorithm can produce different solutions for the same data set, which reflects the internal algorithm variability; different algorithms can give different solutions for the same data set, reflecting the discordance among algorithms; and the algorithms per se are unable to evaluate the reliability of the solutions even if they are unique, this being a general limitation of all inference methods. With the aim of increasing the confidence of statistical inference results, consensus strategy appears to be an effective means to deal with these problems. Several authors have explored this with different emphases. Here we discuss two recent studies examining the internal algorithm variability and among‐algorithm discordance, respectively, and evaluate the different outcomes of these analyses, in light of Orzack (2009) comment. Until other, better methods are developed, a combination of these two approaches should provide a practical way to increase the confidence of statistical haplotyping results.
影响因子：
10.7
作者：
A. Clark
通讯作者：
A. Clark
影响因子：
9.8
作者：
Niu, TH;Qin, ZHS;Liu, JS
通讯作者：
Liu, JS
DOI：
10.1073/pnas.97.19.10483
发表时间：
2000-09-12
影响因子：
11.1
作者：
Drysdale, CM;McGraw, DW;Liggett, SB
通讯作者：
Liggett, SB