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Article

Integrative analysis and variable selection with multiple high-dimensional data sets.

Biostatistics (Oxford, England) - 1 Oct 2011

Ma Shuangge, Huang Jian, Song Xiao

Abstract excerpt

In high-throughput -omics studies, markers identified from analysis of single data sets often suffer from a lack of reproducibility because of sample limitation. A cost-effective remedy is to pool data from multiple comparable studies and conduct integrative analysis. Integrative analysis of multiple -omics data sets is challenging because of the high dimensionality of data and heterogeneity among studies. In...

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Identifiers

PMID: 21415015
DOI: 10.1093/biostatistics/kxr004
PMCID: PMC3169668

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

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