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Published in: Brain Structure and Function 4/2017

Open Access 01-05-2017 | Review

Brain transcriptome atlases: a computational perspective

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

Published in: Brain Structure and Function | Issue 4/2017

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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.
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Metadata
Title
Brain transcriptome atlases: a computational perspective
Authors
Ahmed Mahfouz
Sjoerd M. H. Huisman
Boudewijn P. F. Lelieveldt
Marcel J. T. Reinders
Publication date
01-05-2017
Publisher
Springer Berlin Heidelberg
Published in
Brain Structure and Function / Issue 4/2017
Print ISSN: 1863-2653
Electronic ISSN: 1863-2661
DOI
https://doi.org/10.1007/s00429-016-1338-2

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