Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0

Laurent Heirendt, Sylvain Arreckx, Thomas Pfau, +52

Nature Protocols

Metabolic NetworkEngineeringBiochemistryBioenergeticsBiochemical Constraint-based Models +10

On clusterings

Ravi Kannan, Santosh Vempala, Adrian Vetta

Journal of the ACM

Cluster ComputingDocument ClusteringEngineeringInformation RetrievalData Science +12

A divide-and-merge methodology for clustering

Ravi Kannan, Santosh Vempala, Grant Wang

ACM Transactions on Database Systems

Cluster ComputingEngineeringUnsupervised Machine LearningText MiningDivide Phase +17

CHRR: coordinate hit-and-run with rounding for uniform sampling of constraint-based models

Hulda S. Haraldsdóttir, Ben Cousins, Ines Thiele, +2

Bioinformatics

Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0

Laurent Heirendt, Sylvain Arreckx, Thomas Pfau, +52

arXiv (Cornell University)

EngineeringMolecular BiologyCobra Toolbox 3.0Metabolic ModelMetabolic Network +19

Matrix approximation and projective clustering via volume sampling

Amit Deshpande, Luis Rademacher, Santosh Vempala, +1

Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm - SODA '06

Low-rank ApproximationEngineeringDimensionality ReductionComputational GeometryApproximation Theory +1

A divide-and-merge methodology for clustering

Santosh Vempala, Ravi Kannan, Grant Wang

Cluster ComputingEngineeringSemantic WebUnsupervised Machine LearningText Mining +18

The Colin de Verdi�re number and sphere representations of a graph

Andrew Kotlov, Santosh Vempala

COMBINATORICA

Geometric Graph TheoryGraph TheoryGeometryAlgebraic Graph TheoryGeometric Representation +4

Tensor decomposition and approximation schemes for constraint satisfaction problems

W. Fernandez de la Véga, Marek Karpiński, Ravi Kannan, +1

Mathematical ProgrammingWeighted Max-rcsp ProblemsEngineeringComputational ComplexitySemidefinite Programming +14

Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space

Yunbum Kook, Yin Tat Lee, Ruoqi Shen, +1

arXiv (Cornell University)

Constrained SpaceComputational ScienceHamiltonian Monte CarloEngineeringMachine Learning +13