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Article

Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates.

Bioinformatics (Oxford, England) - 1 Jan 2016

He Kevin, Li Yanming, Zhu Ji, Liu Hongliang, Lee Jeffrey E, Amos Christopher I, Hyslop Terry, Jin Jiashun, Lin Huazhen, Wei Qinyi, Li Yi

Abstract excerpt

MOTIVATION: Technological advances that allow routine identification of high-dimensional risk factors have led to high demand for statistical techniques that enable full utilization of these rich sources of information for genetics studies. Variable selection for censored outcome data as well as control of false discoveries (i.e. inclusion of irrelevant variables) in the presence of high-dimensional predictors...

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Identifiers

PMID: 26382192
DOI: 10.1093/bioinformatics/btv517
PMCID: PMC4757968

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BRCA2

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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