Brain transcriptome atlases: A computational perspective

Mahfouz, A.M.E.T.A.; Huisman, S.M.H.; Lelieveldt, B.P.F.; Reinders, M.J.T.

doi:10.1007/s00429-016-1338-2

Brain transcriptome atlases

Title

Brain transcriptome atlases: A computational perspective

Author

Mahfouz, A.M.E.T.A. (TU Delft Pattern Recognition and Bioinformatics; Leiden University Medical Center)
Huisman, S.M.H. (TU Delft Pattern Recognition and Bioinformatics; Leiden University Medical Center)
Lelieveldt, B.P.F. (TU Delft Pattern Recognition and Bioinformatics; Leiden University Medical Center)
Reinders, M.J.T. (TU Delft Pattern Recognition and Bioinformatics)

Date

2017

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.

Subject

Brain atlases
Gene expression
Co-expression
Omics integration
Imaging genetics

To reference this document use:

http://resolver.tudelft.nl/uuid:28e71809-4b3b-494d-b951-9323d0b6fa1a

DOI

https://doi.org/10.1007/s00429-016-1338-2

ISSN

1863-2653

Source

Brain Structure and Function, 1557-1580

Part of collection

Institutional Repository