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MAMCAT:一种用于区分乳头状和悬链状隔室模型的专家系统。

MAMCAT: an expert system for distinguishing between mammillary and catenary compartmental models.

作者信息

Kuhn de Chizelle A N, DiStefano J J

机构信息

Department of Computer Science, University of California, Los Angeles 90024-1596.

出版信息

Comput Biol Med. 1994 May;24(3):189-204. doi: 10.1016/0010-4825(94)90015-9.

DOI:10.1016/0010-4825(94)90015-9
PMID:7924264
Abstract

MAMCAT is a user-friendly, interactive, graphics-based PC program for addressing a common compartmental model discrimination problem in the framework of model indistinguishability theory: can mammillary and catenary models of the same order be distinguished from each other? The software is designed to teach the theory and solve specific problems. The user is guided step-by-step through definitions, examples, theory and problem solution. Topological properties are used first to screen out some distinguishable models and thereby reduce the number of candidates for indistinguishability. Transfer function analysis is then used to explore the remaining candidates. Analytical results for up to 5-compartment models are given and a more general algorithm is induced from these results.

摘要

MAMCAT是一款用户友好、基于图形交互的个人计算机程序,用于解决模型不可区分性理论框架下一个常见的隔室模型辨别问题:相同阶数的乳头状模型和链状模型能否相互区分?该软件旨在传授理论并解决特定问题。用户在定义、示例、理论和问题解决方面会得到逐步指导。首先利用拓扑性质筛选出一些可区分的模型,从而减少不可区分性候选模型的数量。然后使用传递函数分析来探究剩余的候选模型。给出了多达五隔室模型的分析结果,并从这些结果中归纳出一种更通用的算法。

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