Kazimierz O. Wrzeszczynski

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The identification of genetic and epigenetic alterations from primary tumor cells has become a common method to identify genes critical to the development and progression of cancer. We seek to identify those genetic and epigenetic aberrations that have the most impact on gene function within the tumor. First, we perform a bioinformatic analysis of copy(More)
MOTIVATION Microarray expression data reveal functionally associated proteins. However, most proteins that are associated are not actually in direct physical contact. Predicting physical interactions directly from microarrays is both a challenging and important task that we addressed by developing a novel machine learning method optimized for this task. (More)
The sub-cellular localization of a native protein constitutes one coarse-grained aspect of its function. Transport between compartments is often regulated through short sequence motifs. Here, we analyzed experimentally characterized endoplasmic reticulum (ER)/ Golgi retrieval motifs and investigated the accuracy of homology-transfer. Only the C-terminal ER(More)
The ultimate goal of protein structure prediction is to extend our knowledge and understanding of the structures and functions of proteins beyond that which is possible by experiment. Virtually all techniques, including 1D, 2D, and 3D structure prediction, and diverse kinds of function prediction use profiles rather than single sequences as the 'information(More)
Motivation: Microarray expression data reveal functionally associated proteins. However, most proteins that are associated are not actually in direct physical contact. Predicting physical interactions directly from microarrays is both a challenging and important task that we addressed by developing a novel machine learning method optimized for this task.(More)
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