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Nikita A. Sakhanenko
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2020 – today
- 2023
- [j18]Andrew Banman, Nikita A. Sakhanenko
, James Kunert-Graf, David J. Galas
:
ApoE Modifier Alleles for Alzheimer's Disease Discovered by Information Theory Dependency Measures: MIST Software Package. J. Comput. Biol. 30(3): 323-336 (2023) - 2021
- [j17]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): 180 (2021) - [j16]David J. Galas, James Kunert-Graf, Lisa Uechi, Nikita A. Sakhanenko
:
Toward an Information Theory of Quantitative Genetics. J. Comput. Biol. 28(6): 527-559 (2021) - 2020
- [j15]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): 1333 (2020)
2010 – 2019
- 2019
- [j14]David J. Galas, Nikita A. Sakhanenko
:
Symmetries among Multivariate Information Measures Explored Using Möbius Operators. Entropy 21(1): 88 (2019) - [j13]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): 152-171 (2019) - 2017
- [j12]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): 8 (2017) - [j11]James Kunert-Graf
, Nikita A. Sakhanenko
, David J. Galas:
Complexity and Vulnerability Analysis of the C. Elegans Gap Junction Connectome. Entropy 19(3): 104 (2017) - [j10]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): 1153-1178 (2017) - [i7]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 abs/1702.00033 (2017) - 2016
- [i6]David J. Galas, Nikita A. Sakhanenko:
Unifying formalism for multivariate information-related measures: Möbius operators on subset lattices. CoRR abs/1601.06780 (2016) - 2015
- [j9]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): 1005-1024 (2015) - 2014
- [j8]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): 118-140 (2014) - 2013
- [i5]David J. Galas, Nikita A. Sakhanenko, Alexander Skupin, Tomasz M. Ignac:
Describing the complexity of systems: Multi-variable "set complexity" and hypergraphs. CoRR abs/1302.6932 (2013) - [i4]David J. Galas, Nikita A. Sakhanenko, Benjamin Keller:
On Lattices and the Dualities of Information Measures. CoRR abs/1308.0047 (2013) - 2012
- [j7]Tomasz M. Ignac, Nikita A. Sakhanenko
, David J. Galas:
Complexity of networks II: The set complexity of edge-colored graphs. Complex. 17(5): 23-36 (2012) - [j6]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: 13 (2012) - [j5]Nikita A. Sakhanenko
, David J. Galas:
Probabilistic Logic Methods and Some Applications to Biology and Medicine. J. Comput. Biol. 19(3): 316-336 (2012) - 2011
- [j4]Nikita A. Sakhanenko
, David J. Galas:
Complexity of networks I: The set-complexity of binary graphs. Complex. 17(2): 51-64 (2011) - 2010
- [j3]Nikita A. Sakhanenko
, David J. Galas:
Markov Logic Networks in the Analysis of Genetic Data. J. Comput. Biol. 17(11): 1491-1508 (2010) - [j2]Nikita A. Sakhanenko
, George F. Luger:
Model Failure and Context Switching Using Logic-Based Stochastic Models. J. Comput. Sci. Technol. 25(4): 665-680 (2010)
2000 – 2009
- 2009
- [j1]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): 163-171 (2009) - 2008
- [c4]Nikita A. Sakhanenko, Roshan Rammohan, George F. Luger, Carl R. Stern:
A New Approach to Model-Based Diagnosis Using Probabilistic Logic. FLAIRS 2008: 678-683 - 2007
- [c3]Nikita A. Sakhanenko, George F. Luger, Carl R. Stern:
Managing Dynamic Contexts Using Failure-Driven Stochastic Models. FLAIRS 2007: 466-471 - [c2]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: 2172-2191 - 2006
- [i3]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 abs/cs/0603081 (2006) - 2005
- [i2]Hanna E. Makaruk, Robert Owczarek, Nikita A. Sakhanenko:
Systematic Method for Path-Complete White Box Testing. CoRR abs/cs/0503050 (2005) - [i1]Nikita A. Sakhanenko, Hanna E. Makaruk:
Understanding physics from interconnected data. CoRR abs/cs/0512084 (2005) - 2003
- [c1]Deepak Kapur, Nikita A. Sakhanenko
:
Automatic Generation of Generalization Lemmas for Proving Properties of Tail-Recursive Definitions. TPHOLs 2003: 136-154
Coauthor Index
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