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Cluster analysis is widely applied to discover the function of previously unannotated genes. This paper presents a novel stratified beta-Gaussian mixture model, sBGMM, for clustering genes based on gene expression data, protein-DNA binding data and data that can provide information for constructing priors such as protein-protein interaction (PPI) data. An expectation maximization (EM) type of algorithm...
Array comparative genomic hybridization (aCGH) technology provides high-resolution measurements of DNA aberrations at tens of thousands of locations distributed throughout the genome. These genomic aberrations cause alterations in gene expression patterns which, in turn, are a common cause for emergence of cancer. However, like all other microarray technologies, the obtained measurement data is noisy...
This paper presents a simple way of predicting locations in protein sequences that are prone to disease-causing mutations. These locations are found with the help of outlier analysis of recurrence quantification analysis (RQA) applied to protein solvent accessibility measurements. The detected locations are related to the deterministic patterns of the protein sequences. These deterministic patterns...
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