Node-structured integrative Gaussian graphical model guided by pathway information

DOI10.1155/2017/8520480zbMath1370.92051OpenAlexW2605991637WikidataQ33604714 ScholiaQ33604714MaRDI QIDQ2405417

Ja-Yong Koo, JungJun Lee, Sung Won Han, Jae-Hwan Jhong, ByungYong Lee, SungHwan Kim

Publication date: 25 September 2017

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/8520480

zbMATH Keywords

Gaussian graphical modelbiological pathwaystranscriptomic mechanisms

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40)

Related Items (1)

nsiGGM

Uses Software

• glasso

Cites Work

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• Joint estimation of multiple graphical models
• Gradient directed regularization for sparse Gaussian concentration graphs, with applications to inference of genetic networks
• Model selection and estimation in the Gaussian graphical model
• The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes

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