认识染色体的三维空间结构对于理解细胞核内基因组的表达、调控等具有重要作用.针对Hi-C数据稀疏和含有噪声的特点,提出了基于流形优化(manifold based optimization,MBO)与参数优化相结合的染色体三维结构预测方法——变参数的基于流...认识染色体的三维空间结构对于理解细胞核内基因组的表达、调控等具有重要作用.针对Hi-C数据稀疏和含有噪声的特点,提出了基于流形优化(manifold based optimization,MBO)与参数优化相结合的染色体三维结构预测方法——变参数的基于流形优化的算法(variable-parameter MBO,VMBO).通过黄金分割算法迭代优化转换参数,将染色体片段间的接触频率转换为空间距离值;然后用MBO算法重构染色体的三维平均结构(consensus structures).在实验部分用模拟数据集和真实的Hi-C数据集进行三维结构预测,预测结果的均方根误差(root mean squared deviation,RMSD)和距离的斯皮尔曼相关系数(distance Spearman correlation coefficient,d SCC)说明了VMBO算法的有效性和鲁棒性.展开更多
This paper used event study methods to study the market responses to MBO (Management Buyout). The result illustrates that after MBO, CAR (cumulated abnormal return)is significantly larger than zero (2.52%). And moreov...This paper used event study methods to study the market responses to MBO (Management Buyout). The result illustrates that after MBO, CAR (cumulated abnormal return)is significantly larger than zero (2.52%). And moreover, the volatility changes little after MBO.From this result, we can say that the reaction of investors for MBO is positive. At the same time,government can gradually loosen the limit for it to improve the market development and for the benefit of investors.展开更多
文摘This paper used event study methods to study the market responses to MBO (Management Buyout). The result illustrates that after MBO, CAR (cumulated abnormal return)is significantly larger than zero (2.52%). And moreover, the volatility changes little after MBO.From this result, we can say that the reaction of investors for MBO is positive. At the same time,government can gradually loosen the limit for it to improve the market development and for the benefit of investors.
