机器学习方法在基因交互作用探测中的研究进展

复杂疾病是基因与基因、基因与环境交互作用的结果,高维基因交互作用的探测给计算带来了极大的挑战。在过去20年间,机器学习方法被用于探测基因-基因交互作用,并取得了一定的效果。本文综述了机器学习方法在基因交互作用探测中的研究进展,系统地介绍了神经网络(neural networks,NN)、随机森林(random forest,RF)、支持向量机(support vector machines,SVM)和多因子降维法(multifactor dimensionality reduction,MDR)等机器学习方法在全基因组关联研究(genome wide association study,GWAS)中探测基因交互作用的原理和局限性,并对未来的研究进行了展望。

Research progress on the triterpenoids from the genus Schisandra and their biological activities

The plants of the genus Schisandra of the Schisandraceae family include the genus Schisandra and the genus Kadsura.In recent years,many kinds of triterpenoids have been isolated from the plants of genus Schisandra.Triterpenoids have attracted the attention of phytochemists and pharmacologists because they have novel skeletons and good anti-HIV,immunosuppressive and anti-tumor activities.This study provides an overview of the triterpenoids from the genus Schisandra and their biological activities.