Evidence map›Paper›PMID 25228922›Full record

ArticleBioData mining2014

ExpressionData - A public resource of high quality curated datasets representing gene expression across anatomy, development and experimental conditions.

Philip Zimmermann, Stefan Bleuler, Oliver Laule, Florian Martin, Nikolai V Ivanov, Prisca Campanoni, Karen Oishi, Nicolas Lugon-Moulin, Markus Wyss, Tomas Hruz and 1 more

Abstract read
In one paragraph

Article in BioData mining, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  4. Open Data for Differential Network Analysis in Glioma.International journal of molecular sciences · 2020
    Article
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  6. Article
  7. 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

11 authors.

Philip ZimmermannNEBION AG, Hohlstrasse 515, 8048 Zurich, Switzerland.
Stefan BleulerNEBION AG, Hohlstrasse 515, 8048 Zurich, Switzerland.
Oliver LauleNEBION AG, Hohlstrasse 515, 8048 Zurich, Switzerland.
Florian MartinPhilip Morris International R&D, Quai Jeanrenaud 5, 2003 Neuchatel, Switzerland.
Nikolai V IvanovPhilip Morris International R&D, Quai Jeanrenaud 5, 2003 Neuchatel, Switzerland.
Prisca CampanoniPhilip Morris International R&D, Quai Jeanrenaud 5, 2003 Neuchatel, Switzerland.
Karen OishiPhilip Morris International R&D, Quai Jeanrenaud 5, 2003 Neuchatel, Switzerland.
Nicolas Lugon-MoulinPhilip Morris International R&D, Quai Jeanrenaud 5, 2003 Neuchatel, Switzerland.
Markus WyssNEBION AG, Hohlstrasse 515, 8048 Zurich, Switzerland.
Tomas HruzInstitute of Theoretical Computer Science, ETH Zurich, 8092 Zurich, Switzerland.
Wilhelm GruissemDepartment of Biology, ETH Zurich, 8092 Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reference datasets are often used to compare, interpret or validate experimental data and analytical methods. In the field of gene expression, several reference datasets have been published. Typically, they consist of individual baseline or spike-in experiments carried out in a single laboratory and representing a particular set of conditions. Here, we describe a new type of standardized datasets representative for the spatial and temporal dimensions of gene expression. They result from integrating expression data from a large number of globally normalized and quality controlled public experiments. Expression data is aggregated by anatomical part or stage of development to yield a representative transcriptome for each category. For example, we created a genome-wide expression dataset representing the FDA tissue panel across 35 tissue types. The proposed datasets were created for human and several model organisms and are publicly available at http://www.expressiondata.org.

Identifiers

PMID25228922
PMCPMC4165432

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Registered trials

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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.