STOCHASTIC MODELS AND SOFTWARE FOR CANCER RISK ANALYSIS

描述（改编自申请人的摘要）： 基于细胞类型随机增殖的致癌作用 已经被一些研究者提出。 在大多数情况下，这些 模型只存在于文章中的方程中，或者作为专门的， 非便携式软件实现。 其结果是 这些模型并不能被广泛的生物学家所接受， 受到严格的数学理论处理的阻碍， 软件的笨拙或不可用。 调查员建议 开发易于使用的微机软件，其中的各种 重要的致癌作用模型是在一个广义的 包.从这个平台上，研究人员将能够探索 不同模型所作的各种假设的后果， 并从基本假设的基础上构建新的模型 关于细胞增殖、细胞类型转化和其他重要的 因素 拥有数据的经验毒理学家也将能够 使用该软件来估计任何情况下患癌症的风险或概率 竞争模式。

DESCRIPTION (Adapted from applicant's abstract):Quantitative models of carcinogenesis that are based on stochastic proliferation of cell types have been suggested by several researchers. For the most part, these models exist only as equations in articles, or as specialized and non-portable software implementations. The consequence of this is that the models are not accessible to a broad audience of biologists who are impeded by the rigorous mathematics of the theoretical treatment or awkwardness or unavailability of software. The investigator's propose to develop easy-to-use microcomputer software in which the variety of important models of carcinogenesis are implemented in a generalized package. From this platform researchers will be able to explore the consequences of the various assumptions made by the disparate models, as well as construct new models from the building blocks of basic assumptions about cell proliferation, cell type transformation, and other important factors. Empirical toxicologists who possess data will also be able to use the software to estimate risk or probability of cancer under any of the competing models.