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Robust meta-analysis of gene expression using the elastic net

Hughey, Jacob;

Robust meta-analysis of gene expression using the elastic net

Abstract

Software and instructions for performing a meta-analysis of gene expression, as well as all data necessary to reproduce the meta-analyses of gene expression in lung cancer samples.

Keywords

meta-analysis, gene expression, microarray, machine learning

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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  • 2K
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    2K
    downloads
    Powered byOpenAIRE UsageCounts
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visibility
download
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
Average
Average
Average
2K
2K
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Funded by
NIH| Biomedical Informatics Training at Stanford
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5T15LM007033-36
  • Funding stream: NATIONAL LIBRARY OF MEDICINE
,
NIH| Enabling new discoveries in pharmacogenomics through a genomic date-driven nosolo
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01GM079719-04
  • Funding stream: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
result:project:semrel
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