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Book Chapter

Analysis of fused in-situ hybridization and gene expression data.


Schliep,  Alexander
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Opitz, L., Schliep, A., & Posch, A. (2007). Analysis of fused in-situ hybridization and gene expression data. In Advances in Data Analysis (pp. 577-584). Berlin/Heidelberg: Springer.

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To understand transcriptional regulation during development a detailed analysis of gene expression is needed. In-situ hybridization experiments measure the spatial distribution of mRNA-molecules and thus complement DNA-microarray experiments. This is of very high biological relevance, as co-location is a necessary condition for possible molecular interactions. We use publicly available in-situ data from embryonal development of Drosophila and derive a co-location index for pairs of genes. Our image processing pipeline for in-situ images provides a simpler alternative for the image processing part at comparable performance compared to published prior work. We formulate a mixture model which can use the pair-wise co-location indices as constraints in a mixture estimation on gene expression time-courses.