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As various high-throughput experimental techniques are developed to characterize biological systems at the genome scale, vast protein function data have been collected. However, these functional tags are often imprecise and/or incomplete, resulting in unsatisfactory performances in function-related experiments and applications. Therefore, the refinement of protein functional annotation has been one...
Graph theory has attracted great attention for the problem of image segmentation in recent years. In this paper we deduce the unified form of the normalized cut (Ncut) algorithm and the Isoperimetric algorithm, and then a new Isoperimetric-based thresholding algorithm is proposed. Unlike Tao and Jin's Ncut-based thresholding algorithm, the proposed algorithm need not to search all possible thresholds,...
As more and more high-throughput protein-protein interactions data are collected, a large fraction of newly discovered proteins have an unknown functional role. A challenge to the scientific community is to assign these newly proteins with a biological function that can be verified by experiment. On the basis of thorough analysis of existing protein function prediction, we take double direction enumeration...
Inferring protein functions from different data sources is a challenging task in the post-genomic era, as a large number of crude protein structures from structural genomics project are now solved without their biochemical functions characterized. Recently, many different methods have been used to predict protein functions including those based on Protein-Protein Interaction (PPI), structure, sequence...
Predicting protein function is one of the most challenging problems of the post-genomic era. The development of experimental methods for genome scale analysis of molecular interaction networks has provided new approaches to inferring protein function. There are various approaches available for deducing the function of proteins of unknown function using protein information. In this paper, the reliable...
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