Evidence map›Paper›PMID 24271388›Full record

ArticleNucleic acids research2014

The Gene Expression Barcode 3.0: improved data processing and mining tools.

Matthew N McCall, Harris A Jaffee, Susan J Zelisko, Neeraj Sinha, Guido Hooiveld, Rafael A Irizarry, Michael J Zilliox

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed.

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  11. A dynamic multi-tissue model to study human metabolism.NPJ systems biology and applications · 2021
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  12. Article
  13. Article
  14. Article
  15. Article
  16. PAI-1 augments mucosal damage in colitis.Science translational medicine · 2019
    Article
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  18. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Matthew N McCallDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY 14642, USA, Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21205, USA, Informatics and Systems Development, Loyola University Stritch School of Medicine, Maywood, IL 60153, USA, Nutrition, Metabolism & Genomics Group, Division of Human Nutrition, Wageningen University, The Netherlands, Department of Biostatistics and Computational Biology, Dana Farber Cancer Institute, Boston, MA 02215, USA and Center for Biomedical Informatics, Department of Pharmacology and Molecular Therapeutics, Loyola University Stritch School of Medicine, Maywood, IL 60153, USA.
Harris A Jaffee
Susan J Zelisko
Neeraj Sinha
Guido Hooiveld
Rafael A Irizarry
Michael J Zilliox

Funding

Preprocessing and Analysis Tools for High-Throughput TechnologiesR01GM083084 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI IRIZARRY, RAFAEL ANGEL · 2007 to 2018
$4.4M
CANCER RESEARCH TRAINING-EXPERIMENTAL THERAPY MODELST32CA009363 · NCI · UNIVERSITY OF ROCHESTER · PI LAND, HARTMUT · 1985 to 2013
$2.9M
Loyola Research Computing CoreG20RR030939 · NCRR · LOYOLA UNIVERSITY CHICAGO · PI KENNEDY, RICHARD H. · 2010 to 2010
$2.7M
Software for the statistical analysis of microarray probe level dataR01GM103552 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI IRIZARRY, RAFAEL ANGEL · 2012 to 2013
$735k
Classifying Cancer Biopsies Using a Gene Expression BarcodeF32CA132480 · NCI · EMORY UNIVERSITY · PI ZILLIOX, MICHAEL JOSEPH · 2008 to 2010
$155k
NCI NIH HHS CA009363NCI NIH HHS CA132480NCRR NIH HHS 1G20RR030939NIGMS NIH HHS GM083084NIGMS NIH HHS GM103552NIGMS NIH HHS R01 GM083084NIGMS NIH HHS R01 GM103552
6 · The paper itself

Abstract

The Gene Expression Barcode project, http://barcode.luhs.org, seeks to determine the genes expressed for every tissue and cell type in humans and mice. Understanding the absolute expression of genes across tissues and cell types has applications in basic cell biology, hypothesis generation for gene function and clinical predictions using gene expression signatures. In its current version, this project uses the abundant publicly available microarray data sets combined with a suite of single-array preprocessing, quality control and analysis methods. In this article, we present the improvements that have been made since the previous version of the Gene Expression Barcode in 2011. These include a variety of new data mining tools and summaries, estimated transcriptomes and curated annotations.

Indexed as

Databases, GeneticGene Expression ProfilingAnimalsData MiningHumansInternetMiceOligonucleotide Array Sequence AnalysisSoftwareTranscriptome

Identifiers

PMID24271388
PMCPMC3965035

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.