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Biology of Reproduction, Vol 24, 73-94, Copyright © 1981 by Society for the Study of Reproduction

Analysis of Endocrine Signals: The Engineering and Physics of Biochemical Communication Systems

F. EUGENE YATES 1

1 Institute for Medical Engineering, University of California at Los Angeles, Los Angeles, California 90024


Part I of this paper discusses use of methods of engineering and mathematics to acquire endocrine signals from noisy backgrounds. Filtering and time series analysis are introduced. Six forms of endocrine signals are presented, including switching, amplitude modulation (AM), frequency modulation (FM), rate-sensitivity, periodicity, and fluctuations. The special case of constancy as static bias is examined. Part II presents useful terms and concepts from information science, and relates them to endocrine meassages. Part III speculates on the complementary dynamic and linguistic aspects of endocrine messages, and analyzes biochemical communication generally as a physical phenomenon.

Note:
ACKNOWLEDGMENTS I am indebted to Arthur Iberall and John Urquhart for discussions that focused for me some of the ideas in Part III. My former student, Robert Odell, led the development of the permutation rank test approach to time series analysis. Robert Cohen and Michael Gold are responsible for obtaining many of the endocrine signals that I have analyzed recently. In this and many other matters they have been highly valuable colleagues.




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