Evidence map›Paper›PMID 27909802›Full record

ReviewBrain structure & function2017

Brain transcriptome atlases: a computational perspective.

Ahmed Mahfouz, Sjoerd M H Huisman, Boudewijn P F Lelieveldt, Marcel J T Reinders

Abstract readReview
In one paragraph

Review in Brain structure & function, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
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  6. Review
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  10. Review
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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

4 authors.

Ahmed MahfouzDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands. a.mahfouz@lumc.nl.ORCID http://orcid.org/0000-0001-8601-2149
Sjoerd M H HuismanDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Boudewijn P F LelieveldtDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Marcel J T ReindersDelft Bioinformatics Laboratory, Delft University of Technology, Delft, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immense complexity of the mammalian brain is largely reflected in the underlying molecular signatures of its billions of cells. Brain transcriptome atlases provide valuable insights into gene expression patterns across different brain areas throughout the course of development. Such atlases allow researchers to probe the molecular mechanisms which define neuronal identities, neuroanatomy, and patterns of connectivity. Despite the immense effort put into generating such atlases, to answer fundamental questions in neuroscience, an even greater effort is needed to develop methods to probe the resulting high-dimensional multivariate data. We provide a comprehensive overview of the various computational methods used to analyze brain transcriptome atlases.

Indexed as

TranscriptomeAnimalsAtlases as TopicBrainGene Expression ProfilingHumansImage Processing, Computer-AssistedMiceNeuronsBrain atlasesCo-expressionGene expressionImaging geneticsOmics integration

Identifiers

PMID27909802
PMCPMC5406417

What OpenQuestion holds

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LicenceCC BY
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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.