Publications

Publications from our Researchers

Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.  

Citation

BibTex format

@article{Cofre:2019:10.20944/preprints201907.0240.v1,
author = {Cofre, R and Herzog, R and Corcoran, D and Rosas, F},
doi = {10.20944/preprints201907.0240.v1},
title = {A comparison of the maximum entropy principle across biological spatial scales},
url = {http://dx.doi.org/10.20944/preprints201907.0240.v1},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Cofre,R
AU  - Herzog,R
AU  - Corcoran,D
AU  - Rosas,F
DO  - 10.20944/preprints201907.0240.v1
PY  - 2019///
TI  - A comparison of the maximum entropy principle across biological spatial scales
UR  - http://dx.doi.org/10.20944/preprints201907.0240.v1
UR  - https://www.preprints.org/manuscript/201907.0240/v1
UR  - http://hdl.handle.net/10044/1/73313
ER  -
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