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.
CITATION STYLE
Opitz, L., Schliep, A., & Posch, S. (2007). Joint analysis of in-situ hybridization and gene expression data. In Studies in Classification, Data Analysis, and Knowledge Organization (pp. 577–584). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-540-70981-7_66
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