Part of the Computer Sciences Commons

Works by Michael A. Langston in Computer Sciences

2018

Scalable Multipartite Subgraph Enumeration for Integrative Analysis of Heterogeneous Experimental Functional Genomics Data, Charles A. Phillips, Kai Wang, Jason Bubier, Erich J. Baker, Elissa J. Chesler, Michael A. Langston
Kai Wang

An Automated Resource for Enhanced Differential Analysis, Kai Wang, Charles A. Phillips, Arnold M. Saxton, Michael A. Langston
Kai Wang

Graph Algorithm Alternatives via Polynomial-Time Transformations: An Empirical Study Using Boolean Satisfiability and Integer Linear Programming, Kai Wang, Charles A. Phillips, Casey Miller, David G. Laughon, Michael A. Langston
Kai Wang

2017

EntropyExplorer: An R Package for Computing and Comparing Differential Shannon Entropy, Kai Wang, Charles A. Philips, Arnold M. Saxton, Michael A. Langston
Kai Wang

Lower Bounds on Paraclique Density, Ronald D. Hagan, Michael A. Langston, Kai Wang
Kai Wang

Graph Algorithm Alternatives via Polynomial-Time Transformations: An Empirical Study Using Boolean Satisfiability and Integer Linear Programming, Kai Wang, Charles A. Phillips, Casey Miller, David G. Laughon, Michael A. Langston
Department of Computer Science Faculty Publications

2016

Lower Bounds on Paraclique Density, Ronald D. Hagan, Michael A. Langston, Kai Wang
Department of Computer Science Faculty Publications

2015

EntropyExplorer: An R Package for Computing and Comparing Differential Shannon Entropy, Kai Wang, Charles A. Philips, Arnold M. Saxton, Michael A. Langston
Department of Computer Science Faculty Publications

PDF

An Automated Resource for Enhanced Differential Analysis, Kai Wang, Charles A. Phillips, Arnold M. Saxton, Michael A. Langston
Department of Computer Science Faculty Presentations

Scalable Multipartite Subgraph Enumeration for Integrative Analysis of Heterogeneous Experimental Functional Genomics Data, Charles A. Phillips, Kai Wang, Jason Bubier, Erich J. Baker, Elissa J. Chesler, Michael A. Langston
Department of Information Technology Faculty Publications

2014

Toward an Efficient, Highly Scalable Maximum Clique Solver for Massive Graphs, Ronald D. Hagan, Charles A. Philips, Kai Wang, Gary L. Rogers, Michael A. Langston
Kai Wang

Differential Shannon Entropy and Differential Coefficient of Variation: Alternatives and Augmentations to Differential Expression in the Search for Disease-Related Genes, Kai Wang, Charles A. Phillips, Gary L. Rogers, Fredrik Barrenas, Mikael Benson, Michael A. Langston
Kai Wang

2013

On the Relative Significance of Kernelization versus Branching for Parallel FPT Implementations, Ronald D. Hagan, Charles A. Philips, Kai Wang, Gary L. Rogers, Callum Lowcay, Michael A. Langston
Kai Wang

2012

Differential Shannon Entropy and Differential Coefficient of Variation: Alternatives to Differential Expression in the Search for Disease-Related Genes, Kai Wang, Charles A. Philips, Gary L. Rogers, Fredrik Barrenas, Mikael Benson, Michael A. Langston
Kai Wang