Whose entropy: a maximal entropy analysis of phosphorylation signaling

DOI10.1007/S10955-011-0215-XzbMath1225.82025OpenAlexW2132853353WikidataQ62733810 ScholiaQ62733810MaRDI QIDQ639317

R. D. Levine, F. Remacle, T. G. Graeber

Publication date: 20 September 2011

Published in: Journal of Statistical Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10955-011-0215-x

zbMATH Keywords

information theoryprior distributionsystems biologysignal transductionhigh throughput experimentsphosphoproteomics

Mathematics Subject Classification ID

Statistical thermodynamics (82B30) Systems biology, networks (92C42)

Cites Work

• An algorithm for finding the distribution of maximal entropy
• Comparison of maximum entropy and minimal mutual information in a nonlinear setting
• An information theoretical approach to inversion problems
• Unnamed Item

This page was built for publication: Whose entropy: a maximal entropy analysis of phosphorylation signaling