两种群竞争实验复杂性估计的统计方法
Statistical Methods for Estimating Complexity from Competition Experiments between Two Populations
摘要：
通常，筛选或选择实验靶向细胞或组织，其呈现许多可能的分子靶标并鉴定相应大量的配体。我们描述了一种统计方法，以提取的复杂性或丰富性的一组分子目标之间的竞争实验可区分的配体，包括来自组合实验（SELEX或噬菌体展示）的适体的估计。在模拟中，非参数统计提供了一个强大的估计复杂性从100 × 100矩阵的竞争实验，这显然是可行的高通量格式。该统计量和方法也适用于其他配体结合的情况。
英文摘要：
Often a screening or selection experiment targets a cell or tissue, which presents many possible molecular targets and identifies a correspondingly large number of ligands. We describe a statistical method to extract an estimate of the complexity or richness of the set of molecular targets from competition experiments between distinguishable ligands, including aptamers derived from combinatorial experiments (SELEX or phage display). In simulations, the nonparametric statistic provides a robust estimate of complexity from a 100x100 matrix of competition experiments, which is clearly feasible in high-throughput format. The statistic and method are potentially applicable to other ligand binding situations.
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