Group additive regression models for genomic data analysis

DOI10.1093/biostatistics/kxm015zbMath1274.62831OpenAlexW2149776317WikidataQ31113174 ScholiaQ31113174MaRDI QIDQ3634572

Hongzhe Li, Yihui Luan

Publication date: 25 June 2009

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxm015

zbMATH Keywords

boostingpathwayAFT modelsgradient descent boosting

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Protein sequences, DNA sequences (92D20) Diagnostics, and linear inference and regression (62J20)

Related Items (4)

On Model Selection Consistency of Bayesian Method for Normal Linear Models ⋮ Exploiting predictor domain information in sufficient dimension reduction ⋮ Integrative analysis of multiple types of genomic data using an accelerated failure time frailty model ⋮ Bayesian Gene Set Analysis for Identifying Significant Biological Pathways

This page was built for publication: Group additive regression models for genomic data analysis