Dose-response Methods Development for High Throughput, Nontraditional, and Standard Bioassays

本研究开发了使用贝叶斯分析估计毒性的新的剂量-反应方法。为了估计毒性的起点，该研究将基准剂量估计技术的使用扩展到新的剂量-反应方法。虽然文献中有一些可用的参数化工具，但它们往往不足以满足毒物基因组学和高通量数据流的需要。因此，同时估计多种生物测定和基因之间相关性的非参数模型将被开发出来，网络分析技术将被开发出来寻找基因网络。

This research develops novel dose-response methodologies for estimating toxicity using Bayesian analyses. To estimate the point of departure for toxicity, the research extends the use of benchmark dose estimation techniques to new dose-response methodologies. Though some of the parametric tools available in the literature, they are often inadequate for the needs of toxicogenomic and high-throughput data streams. Consequently, non-parametric models that simultaneously estimate the correlation between multiple bioassays and genes will be developed, and network analytic techniques will be developed to find gene-networks.