Grange, Pascal, Mitra, Partha P (November 2011) Statistical analysis of co-expression properties of sets of genes in the mouse brain. (Submitted)
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Abstract
We propose a quantitative method to estimate the statistical properties of sets of genes for which expression data are available and co-registered to a reference atlas of the brain. It is based on graph-theoretic properties of co-expression coefficients between pairs of genes. We apply this method to mouse genes from the Allen Gene Expression Atlas. Co-expression patterns of a list of several hundreds of genes related to addiction are analyzed, using ISH data produced for the mouse brain at the Allen Institute. It appears that large subsets of this set of genes are much more highly co-expressed than expected by chance.
Item Type: | Paper |
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Subjects: | organs, tissues, organelles, cell types and functions > organs types and functions > brain bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function > gene expression organism description > animal > mammal > rodent > mouse |
CSHL Authors: | |
Communities: | CSHL labs > Mitra lab |
SWORD Depositor: | CSHL Elements |
Depositing User: | CSHL Elements |
Date: | 26 November 2011 |
Date Deposited: | 13 Oct 2023 15:03 |
Last Modified: | 13 Oct 2023 15:03 |
Related URLs: | |
URI: | https://repository.cshl.edu/id/eprint/41240 |
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