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Article

Principled multi-omic analysis reveals gene regulatory mechanisms of phenotype variation.

Genome research - 1 Aug 2018

Hanson Casey, Cairns Junmei, Wang Liewei, Sinha Saurabh

Abstract excerpt

Recent studies have analyzed large-scale data sets of gene expression to identify genes associated with interindividual variation in phenotypes ranging from cancer subtypes to drug sensitivity, promising new avenues of research in personalized medicine. However, gene expression data alone is limited in its ability to reveal cis-regulatory mechanisms underlying phenotypic differences. In this study, we develop a...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 29898900
DOI: 10.1101/gr.227066.117
PMCID: PMC6071639

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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