Statistical Methods for Estimating Complexity from Competition Experiments between Two Populations
Quantitative Methods
2013-06-04 v1 Populations and Evolution
Abstract
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.
Cite
@article{arxiv.1306.0069,
title = {Statistical Methods for Estimating Complexity from Competition Experiments between Two Populations},
author = {Stephen Montgomery-Smith and Francis J. Schmidt},
journal= {arXiv preprint arXiv:1306.0069},
year = {2013}
}