Greg Speegle

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In order to more efficiently represent image editing in multimedia databases, research has been performed to determine the usefulness of storing one image file as a base along with a set of operations that represent the modifications to the image that occured during editing. Because any editor should be able to produce and interpret them, these operations(More)
A signaling pathway, which is represented as a chain of interacting proteins for a biological process, can be predicted from protein-protein interaction (PPI) networks. However, pathway prediction is computationally challenging because of (1) inefficiency in searching all possible paths from the large-scale PPI networks and (2) unreliability of current PPI(More)
One of the most widely used models for large-scale data mining is the k-nearest neighbor (k-nn) algorithm. It can be used for classification, regression, density estimation, and information retrieval. To use k-nn, a practitioner must first choose k, usually selecting the k with the minimal loss estimated by cross-validation. In this work, we begin with an(More)
Because most complex genetic diseases are caused by defects of cell signaling, illuminating a signaling cascade is essential for understanding their mechanisms. We present three novel computational algorithms to reconstruct signaling networks between a starting protein and an ending protein using genome-wide protein-protein interaction (PPI) networks and(More)
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