基于弹性网络的大鼠肝再生关键基因选择

Selection of the Key Genes for the Rat Liver Regeneration Via Elastic Net

针对大鼠肝再生基因表达谱芯片数据挖掘问题,通过把肝再生过程划分为8个不同时间的子过程,将其转化为二分类问题,进而利用弹性网络对每1个子过程分别进行分类和相关基因选择.此外,以细胞增殖为主线,分析了所选择基因间的通路关系,验证了所选基因的生物合理性.

By dividing the liver regeneration process into eight sub-processes of time,the data mining problem on the gene chip for the rat liver regeneration can be transformed into a series of binary classification problems.The elastic nets are applied to each sub-process to achieve simultaneous gene selection and classification.Furthermore,the pathways among the selected genes are analyzed by following the physiological activity of cell proliferation,thus illustrating the biological rationality of the selected genes.