Calibration for Computer Experiments With Binary Responses and Application to Cell Adhesion Study

Calibration refers to the estimation of unknown parameters which are present in computer experiments but not available in physical experiments. An accurate estimation of these parameters is important because it provides a scientific understanding of the underlying system which is not available in physical experiments. Most of the work in the literature is limited to the analysis of continuous responses. Motivated by a study of cell adhesion experiments, we propose a new calibration framework for binary responses. Its application to the T cell adhesion data provides insight into the unknown values of the kinetic parameters which are difficult to determine by physical experiments due to the limitation of the existing experimental techniques. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.

校准（Calibration）指针对计算机实验中存在但物理实验无法获取的未知参数开展估计的过程。对这类参数的精准估计具有重要意义，因其能够帮助研究者获得物理实验无法提供的、关于研究系统内在机制的科学认知。现有文献中的多数研究仅局限于连续响应的分析。受细胞黏附实验相关研究的启发，我们针对二分类响应场景提出了一种全新的校准框架。将该框架应用于T细胞黏附数据集后，我们得以深入解析动力学参数的未知取值——这类参数受限于当前实验技术水平，难以通过物理实验直接确定。本文的补充材料（包含可用于复现本研究的标准化材料说明）可通过在线补充资源获取。