A graph theoretical approach to data fusion

DOI10.1515/sagmb-2016-0016zbMath1343.92029OpenAlexW2951811811WikidataQ31060656 ScholiaQ31060656MaRDI QIDQ306678

Michael P. H. Stumpf, Paul D. W. Kirk, Justina Žurauskienė

Publication date: 1 September 2016

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: http://pure-oai.bham.ac.uk/ws/files/54755791/Zurauskiene_et_al_A_graph_theoretical_Statistical_Applications_in_Genetics_and_Molecular_Biology_2018.pdf

zbMATH Keywords

clusteringdata integrationfunctional genomicsgraph-theoretic methods

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15) Nonparametric estimation (62G05)

Uses Software

• TopKLists
• BioGRID
• MCODE

Cites Work

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• \texttt{TopKLists}: a comprehensive \texttt{R} package for statistical inference, stochastic aggregation, and visualization of multiple omics ranked lists
• Consensus clustering: A resampling-based method for class discovery and visualization of gene expression microarray data
• Bootstrapping cluster analysis: Assessing the reliability of conclusions from microarray experiments
• Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods
• Bayesian Density Estimation and Inference Using Mixtures
• Improved criteria for clustering based on the posterior similarity matrix

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