Inference of Genetic Networks from Time Course Expression Data Using Functional Regression with Lasso Penalty

DOI10.1080/03610921003650424zbMath1216.62170arXiv0804.0696OpenAlexW2072308660MaRDI QIDQ3015888

Zhaoping Hong, Heng Lian

Publication date: 13 July 2011

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0804.0696

zbMATH Keywords

gene networkssparsitytime-course data

Mathematics Subject Classification ID

Related Items (9)

An introduction to recent advances in high/infinite dimensional statistics ⋮ Consistent variable selection for functional regression models ⋮ General linear hypothesis testing in functional response model ⋮ Robust multivariate functional discriminant coordinates ⋮ Fréchet distance-based cluster analysis for multi-dimensional functional data ⋮ Variable selection in functional regression models: a review ⋮ Nonparametric Estimation of Variance Function for Functional Data Under Mixing Conditions ⋮ A note on variable selection in functional regression via random subspace method ⋮ Interval-wise testing for functional data

Cites Work

• The Adaptive Lasso and Its Oracle Properties
• Least angle regression. (With discussion)
• Functional data analysis.
• Piecewise linear regularized solution paths

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