抗原受体库多样性分析模型
Model for Diversity Analysis of Antigen Receptor Repertoires
摘要：
在最近的免疫学文献中，大多数抗原受体群体之间的差异是通过从生态学研究中借来的物种重叠和多样性的非参数统计测量来检查的。虽然这种方法在广泛的情况下是稳健的，但它似乎对潜在的克隆大小分布和区分受体群体的整体机制提供了很少的见解。作为一种可能的替代方案，本文提出了一种参数化方法，该方法可以调整数据欠采样，并通过无监督学习的现代统计工具提供了一种统一的方法来同时比较多个受体组。参数模型是基于一个灵活的多变量泊松对数正态分布，被认为是一个自然推广的单变量泊松对数正态模型用于生态研究的生物多样性格局。评估模型的拟合的程序描述与公共领域的软件开发，以执行必要的诊断。当应用于转基因小鼠群体中T细胞受体的数据时，模型驱动的分析被认为与传统方法相比是有利的。
英文摘要：
In most of the recent immunological literature the differences across antigen receptor populations are examined via non-parametric statistical measures of species overlap and diversity borrowed from ecological studies. While this approach is robust in a wide range of situations, it seems to provide little insight into the underlying clonal size distribution and the overall mechanism differentiating the receptor populations. As a possible alternative, the current paper presents a parametric method which adjusts for the data under-sampling as well as provides a unifying approach to simultaneous comparison of multiple receptor groups by means of the modern statistical tools of unsupervised learning. The parametric model is based on a flexible multivariate Poisson-lognormal distribution and is seen to be a natural generalization of the univariate Poisson-lognormal models used in ecological studies of biodiversity patterns. The procedure for evaluating model's fit is described along with the public domain software developed to perform the necessary diagnostics. The model-driven analysis is seen to compare favorably vis a vis traditional methods when applied to the data from T-cell receptors in transgenic mice populations.
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