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We intended to study the relationship between gene expression patterns and projection target specificity for different injection sites.
The primary aim of this study was to investigate the correlation between gene expression patterns and projection target specificity.
The similarity between gene expression patterns is computed using four scoring metrics: mean squared error, Haar wavelet distance, mutual information and spatial mutual information (SMI).
We are interested in studying the relationship between gene expression patterns and projection target correlations by integrating those two correlation matrices.
These two correlation matrices capture the correlations between gene expression patterns and projection target specificity in the same set of injection sites.
We will investigate whether this type of correlation between gene expression patterns and projection target specificity holds in other brains such as the human brain.
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Consequently, no correlation was detected between gene expression pattern and position on the phylogenetic tree.
Li et al. investigated the relationship between gene expression pattern and genes features for human, M. musculus, and A. thaliana.
Another possible reason is that, there may not exist simple linear relationships between gene expression pattern and sequence length.
Our results suggest a relationship between gene expression pattern, biochemical effects, and transcription factor binding sites in promoter regions of cysteine desulfurase genes.
For the identification of genes underlying known heterotic QTL, we made use of tight associations between gene expression pattern and the trait of interest, identified by correlation analyses.
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