Some Lessons for Molecular Biology from Information Theory

@inproceedings{Schneider.lessons2003,
author = "T. D. Schneider",
editor = "J. Kacprzyk",
booktitle = "Entropy Measures, Maximum Entropy Principle
and Emerging Applications.
Special Series on Studies in Fuzziness and Soft Computing. (Festschrift
Volume in honour of Professor J.N. Kapour, Jawaharlal Nehru University,
India)",
title = "Some Lessons for Molecular Biology from Information Theory",
volume = "119",
publisher = "Springer-Verlag",
address = "New York",
pages = "229-237",
comment = "
http://www.springer.de/cgi-bin/search_book.pl?series=2941
http://www.springer.de/cgi-bin/search_book.pl?isbn=3-540-00242-1",
year = "2003"}

This paper is a chapter in a book, a festscrift in honour of Prof. J. N. Kapur on "Entropy Measures, Maximum Entropy and Emerging Applications" which has been published by Springer. Dr. Karmeshu, (Professor School of Computer and Systems sciences, Jawaharlal Nehru University New Delhi -110067) is the editor. This book is in the series "Studies in Fuzziness and Soft Computing", edited by Prof. Janusz Kacprzyk.

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  • Springer page on Studies in Fuzziness and Soft Computing.
  • Springer page on the book Entropy Measures, Maximum Entropy Principle and Emerging Applications.
  • Errata to the book: the two figures given in the paper are missing from the book!

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    origin: 2000 April 25
    updated: 2003 April 4
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