Nikita A. Sakhanenko

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 12

Top Topics

Information Theory

Statistical Learning

Shannon Entropy

Top Venues

J. Comput. Biol.

Publications

Andrew Banman, Nikita A. Sakhanenko, James Kunert-Graf, David J. Galas
Modifier Alleles for Alzheimer's Disease Discovered by Information Theory Dependency Measures: MIST Software Package. J. Comput. Biol. 30 (3) (2023)
David J. Galas, James Kunert-Graf, Lisa Uechi, Nikita A. Sakhanenko
Toward an Information Theory of Quantitative Genetics. J. Comput. Biol. 28 (6) (2021)
James M. Kunert-Graf, Nikita A. Sakhanenko, David J. Galas
Optimized permutation testing for information theoretic measures of multi-gene interactions. BMC Bioinform. 22 (1) (2021)
James Kunert-Graf, Nikita A. Sakhanenko, David J. Galas
Partial Information Decomposition and the Information Delta: A Geometric Unification Disentangling Non-Pairwise Information. Entropy 22 (12) (2020)
Lisa Uechi, David J. Galas, Nikita A. Sakhanenko
Multivariate Analysis of Data Sets with Missing Values: An Information Theory-Based Reliability Function. J. Comput. Biol. 26 (2) (2019)
David J. Galas, Nikita A. Sakhanenko
Symmetries among Multivariate Information Measures Explored Using Möbius Operators. Entropy 21 (1) (2019)
Nikita A. Sakhanenko, James Kunert-Graf, David J. Galas
The Information Content of Discrete Functions and Their Application in Genetic Data Analysis. J. Comput. Biol. 24 (12) (2017)
David J. Galas, T. Gregory Dewey, James Kunert-Graf, Nikita A. Sakhanenko
Expansion of the Kullback-Leibler Divergence, and a New Class of Information Metrics. Axioms 6 (2) (2017)
James Kunert-Graf, Nikita A. Sakhanenko, David J. Galas
Gap Junction Connectome. Entropy 19 (3) (2017)
David J. Galas, T. Gregory Dewey, James Kunert-Graf, Nikita A. Sakhanenko
Expansion of the Kullback-Leibler Divergence, and a new class of information metrics. CoRR (2017)
David J. Galas, Nikita A. Sakhanenko
Unifying formalism for multivariate information-related measures: Möbius operators on subset lattices. CoRR (2016)
Nikita A. Sakhanenko, David J. Galas
Biological Data Analysis as an Information Theory Problem: Multivariable Dependence Measures and the Shadows Algorithm. J. Comput. Biol. 22 (11) (2015)
David J. Galas, Nikita A. Sakhanenko, Alexander Skupin, Tomasz M. Ignac
Describing the Complexity of Systems: Multivariable "Set Complexity" and the Information Basis of Systems Biology. J. Comput. Biol. 21 (2) (2014)
David J. Galas, Nikita A. Sakhanenko, Alexander Skupin, Tomasz M. Ignac
Describing the complexity of systems: Multi-variable "set complexity" and hypergraphs CoRR (2013)
David J. Galas, Nikita A. Sakhanenko, Benjamin Keller
On Lattices and the Dualities of Information Measures. CoRR (2013)
Nikita A. Sakhanenko, David J. Galas
Probabilistic Logic Methods and Some Applications to Biology and Medicine. J. Comput. Biol. 19 (3) (2012)
Tomasz M. Ignac, Nikita A. Sakhanenko, David J. Galas
Relations between the set-complexity and the structure of graphs and their sub-graphs. EURASIP J. Bioinform. Syst. Biol. 2012 (2012)
Tomasz M. Ignac, Nikita A. Sakhanenko, David J. Galas
Complexity of networks II: The set complexity of edge-colored graphs. Complex. 17 (5) (2012)
Nikita A. Sakhanenko, David J. Galas
Complexity of networks I: The set-complexity of binary graphs. Complex. 17 (2) (2011)
Nikita A. Sakhanenko, David J. Galas
Markov Logic Networks in the Analysis of Genetic Data. J. Comput. Biol. 17 (11) (2010)
Nikita A. Sakhanenko, George F. Luger
Model Failure and Context Switching Using Logic-Based Stochastic Models. J. Comput. Sci. Technol. 25 (4) (2010)
Nikita A. Sakhanenko, George F. Luger, Hanna E. Makaruk, David B. Holtkamp
Predictions and Diagnostics in Experimental Data Using Support Vector Regression. Int. J. Artif. Intell. Tools 18 (1) (2009)
Nikita A. Sakhanenko, Roshan Rammohan, George F. Luger, Carl R. Stern
A New Approach to Model-Based Diagnosis Using Probabilistic Logic. FLAIRS Conference (2008)
Nikita A. Sakhanenko, Roshan Rammohan, George F. Luger, Carl R. Stern
A Context-Partitioned Stochastic Modeling System with Causally Informed Context Management and Model Induction. IICAI (2007)
Nikita A. Sakhanenko, George F. Luger, Carl R. Stern
Managing Dynamic Contexts Using Failure-Driven Stochastic Models. FLAIRS Conference (2007)
Nikita A. Sakhanenko, George F. Luger, Hanna E. Makaruk, David B. Holtkamp
Application of Support Vector Regression to Interpolation of Sparse Shock Physics Data Sets CoRR (2006)
Nikita A. Sakhanenko, Hanna E. Makaruk
Understanding physics from interconnected data CoRR (2005)
Hanna E. Makaruk, Robert Owczarek, Nikita A. Sakhanenko
Systematic Method for Path-Complete White Box Testing CoRR (2005)
Deepak Kapur, Nikita A. Sakhanenko
Automatic Generation of Generalization Lemmas for Proving Properties of Tail-Recursive Definitions. TPHOLs (2003)