A preconditioned conjugate gradient algorithm for GeneRank with application to microarray data mining

DOI10.1007/s10618-011-0245-7zbMath1260.68351OpenAlexW1963624146MaRDI QIDQ1944967

Wei Xu, Ying Zhang, Gang Wu, Yi-Min Wei

Publication date: 28 March 2013

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-011-0245-7

zbMATH Keywords

Krylov subspace methodmicroarraygene networkGeneRankpreconditioned conjugate gradient method (PCG)

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Genetics and epigenetics (92D10)

Related Items (3)

Effective matrix-free preconditioning for the augmented immersed interface method ⋮ An adaptive reordered method for computing PageRank ⋮ An efficient elimination strategy for solving PageRank problems

Uses Software

• Matlab
• JDQR
• JDQZ
• CONTEST
• testmatrix
• GeneRank

Cites Work

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• Refined iterative algorithms based on Arnoldi's process for large unsymmetric eigenproblems
• Preconditioning techniques for large linear systems: A survey
• Templates for the Solution of Algebraic Eigenvalue Problems
• Methods of conjugate gradients for solving linear systems

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