17 citations · 36 across the 11 of their papers we have counts for
11 papers
The Group Theoretic Roots of Information: permutations, symmetry, and entropy
David J. Galas
We propose a new interpretation of measures of information and disorder by connecting these concepts to group theory in a new way. Entropy and group theory are connected here by th…
Expansion of the Kullback-Leibler Divergence, and a new class of information metrics
David J. Galas, T. Gregory Dewey, James Kunert-Graf +1
Inferring and comparing complex, multivariable probability density functions is fundamental to problems in several fields, including probabilistic learning, network theory, and dat…
Multivariate information measures: a unification using Möbius operators on subset lattices
David J. Galas, Nikita A. Sakhanenko
Information related measures are useful tools for multi variable data analysis, as measures of dependence among variables, and as descriptions of order in biological and physical s…
A genome wide dosage suppressor network reveals genetic robustness and a novel mechanism for Huntington's disease
B. Patra, Y. Kon, G. Yadav +17
Mutational robustness is the extent to which an organism has evolved to withstand the effects of deleterious mutations. We explored the extent of mutational robustness in the buddi…
On Lattices and the Dualities of Information Measures
David J. Galas, Nikita A. Sakhanenko, Benjamin Keller
Measures of dependence among variables, and measures of information content and shared information have become valuable tools of multi-variable data analysis. Information measures,…
Describing the complexity of systems: multi-variable "set complexity" and the information basis of systems biology
David J. Galas, Nikita A. Sakhanenko, Alexander Skupin +1
Context dependence is central to the description of complexity. Keying on the pairwise definition of "set complexity" we use an information theory approach to formulate general mea…