Titlebook: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics; 6th European Confere Elena Marchiori,Jason H. Moore Conferenc

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書目名稱Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics影響因子(影響力)




書目名稱Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics影響因子(影響力)學(xué)科排名




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書目名稱Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




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書目名稱Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics讀者反饋學(xué)科排名

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Jeanne Peijnenburg,David Atkinsonin both family-based and case-control datasets. In this manuscript, we demonstrate how LD patterns of the simulated data change under different population growth curve parameter initialization settings. These results provide guidelines to simulate WGA datasets whose properties resemble the HapMap.

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Mining Gene Expression Patterns for the Discovery of Overlapping Clusters, both a local pairwise similarity measure between gene expression profiles and a global probabilistic measure of interestingness of hidden patterns. When performing re-clustering, the proposed approach is able to distinguish between relevant and irrelevant expression data. In addition, it is able to

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Development and Evaluation of an Open-Ended Computational Evolution System for the Genetic Analysisal researchers. The goal of the present study was to develop and evaluate a prototype CE system for the analysis of human genetics data. We describe here this new open-ended CE system and provide initial results from a simulation study that suggests more complex operators result in better solutions.

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