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Pathway-based drug discovery overcomes the disadvantages of the “one drug-one target” method, which aims to find the effective drugs to act on single targets. The current method “iPaD” identities the drug-pathway association pairs by taking the lasso-type penalty on the drug-pathway association matrix. In order to enhance the robustness of the methods and be more effective to find the novel drug-pathway...
With the development of deep sequencing technologies, many RNA-Seq data have been generated. Researchers have proposed many methods based on the sparse theory to identify the differentially expressed genes from these data. In order to improve the performance of sparse principal component analysis, in this paper, we propose a novel class-information-based sparse component analysis (CISCA) method which...
A novel heuristic algorithm, multivariant optimization algorithm (MOA), in field geographic information system (GIS)-based emergency path finding is proposed in this paper The MOA algorithm featured with alternating global-local search iterations by multivariant search groups, global and local exploitation groups, is employed to find field emergency path by considering the time length weighted model...
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