Variable selection and joint estimation of mean and covariance models with an application to eQTL data

DOI10.1155/2018/4626307zbMath1411.92198OpenAlexW2809508031WikidataQ90477559 ScholiaQ90477559MaRDI QIDQ1734403

SungHwan Kim, Ja-Yong Koo, Jae-Hwan Jhong, JungJun Lee

Publication date: 27 March 2019

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

Full work available at URL: https://doi.org/10.1155/2018/4626307

zbMATH Keywords

gene networksgenomic data analysisjoint mean and constant covariance model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Genetics and epigenetics (92D10) Software, source code, etc. for problems pertaining to biology (92-04)

Related Items (1)

Joint variable selection and network modeling for detecting eQTLs

Uses Software

• KEGG
• AmiGO

Cites Work

• Unnamed Item
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• Graphical Models with R
• Polychotomous Regression
• Estimation in a semiparametric model for longitudinal data with unspecified dependence structure
• Sparse Estimation of Conditional Graphical Models With Application to Gene Networks
• Joint mean-covariance models with applications to longitudinal data: unconstrained parameterisation
• High‐Dimensional Covariance Estimation
• Covariate-adjusted precision matrix estimation with an application in genetical genomics
• Linear Statistical Inference and its Applications

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