Effective gene expression data generation framework based on multi-model approach

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摘要

ObjectiveOvercome the lack of enough samples in gene expression data sets having thousands of genes but a small number of samples challenging the computational methods using them.

论文关键词：Multi-model approach,Probabilistic Boolean networks,Ordinary differential equations,Genetic algorithm,Hierarchical Markov models,Gene expression data generation,Gene regulation network modeling

论文评审过程：Received 20 October 2015, Accepted 27 May 2016, Available online 4 June 2016, Version of Record 15 June 2016.

论文官网地址：https://doi.org/10.1016/j.artmed.2016.05.003