Titlebook: Mathematical Modelling and Computers in Endocrinology; James E. A. McIntosh,Rosalind P. McIntosh Book 1980 Springer-Verlag Berlin, Heidelb

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Mathematical Descriptions of Biological Models,asis in which certain stimuli are shown to produce particular responses without reference to actual mechanisms, or from a metaphoric viewpoint in which equations have the same dynamical properties as the system, but with no detailed physical basis for their particular form.

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Eeg332

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Ligand-Protein Interaction and Competitive Displacement Assays,says based on receptor interactions. Empirical models are useful there because interpolation only is required; a smooth curve well-fitted to standards suffices. The techniques of fitting mathematical models to experimental data, as described in Chap. 3 and illustrated in Chap. 5, are again emphasized here.

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Large Systems: Modelling Ovulatory Cycles, of the time. (Endocrinologists are well aware that experimental data also depend heavily on the development of experimental techniques.) A major function performed by model building is to detect limitations for further investigation in all three of these areas.

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0077-1015 entists often perform the processes of modelling subconsciously, unaware of the scope and significance of this activity, and the techniques available to assist in the description and testing of their ideas. Mathematics has three important contributions to make in biological modelling: (1) it provide

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0077-1015 nd accuracy in determining the consequences of model assumptions, but also greatly extend the range of problems which can be explored. The impact of computers i978-3-642-81403-7978-3-642-81401-3Series ISSN 0077-1015