Version 1
: Received: 18 July 2019 / Approved: 22 July 2019 / Online: 22 July 2019 (10:07:12 CEST)
How to cite:
Cofre, R.; Herzog, R.; Corcoran, D.; Rosas, F. A Comparison of the Maximum Entropy Principle Across Biological Spatial Scales. Preprints2019, 2019070240. https://doi.org/10.20944/preprints201907.0240.v1
Cofre, R.; Herzog, R.; Corcoran, D.; Rosas, F. A Comparison of the Maximum Entropy Principle Across Biological Spatial Scales. Preprints 2019, 2019070240. https://doi.org/10.20944/preprints201907.0240.v1
Cofre, R.; Herzog, R.; Corcoran, D.; Rosas, F. A Comparison of the Maximum Entropy Principle Across Biological Spatial Scales. Preprints2019, 2019070240. https://doi.org/10.20944/preprints201907.0240.v1
APA Style
Cofre, R., Herzog, R., Corcoran, D., & Rosas, F. (2019). A Comparison of the Maximum Entropy Principle Across Biological Spatial Scales. Preprints. https://doi.org/10.20944/preprints201907.0240.v1
Chicago/Turabian Style
Cofre, R., Derek Corcoran and Fernando Rosas. 2019 "A Comparison of the Maximum Entropy Principle Across Biological Spatial Scales" Preprints. https://doi.org/10.20944/preprints201907.0240.v1
Abstract
Despite their obvious differences, biological systems at different scales tend to exhibit common organizational patterns. Unfortunately, these commonalities are usually obscured by the parcelled terminology employed by various scientific sub-disciplines. To explore these commonalities, this papers a comparative study of diverse applications of the maximum entropy principle, ranging from amino acids up to societies. By presenting these studies under a common language, this paper establishes a unified view over seemingly highly heterogeneous biological scenarios.
Keywords
maximum entropy principle; biological systems across scales; model-free data analysis; inverse problems
Subject
Biology and Life Sciences, Ecology, Evolution, Behavior and Systematics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.