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异方差下利用Bootstrap抽样技巧对基因表达样式进行选择和聚类
  • ISSN号：1000-1832
  • 期刊名称：《东北师大学报：自然科学版》
  • 时间：0
  • 分类：O212[理学—概率论与数理统计;理学—数学]
  • 作者机构：[1]沈阳师范大学数学与系统科学学院,辽宁沈阳110034, [2]辽宁石油化工大学理学院,辽宁抚顺113001
  • 相关基金：国家自然科学基金资助重点项目（10431010）; 辽宁省教育厅高等学校科学研究项目（20060842）
作者： 刘瑞银[1], 苗晨[2]
关键词： Bootstrap抽样, 选择和聚类, 异方差, Bootstrap sampling, selecting and clustering, heteroscedasticity
中文摘要：

通过利用Shi,Shi-Jiang算法和一个Bootstrap抽样技巧,给出了一个推广了的序约束推断方法,在不需要满足方差恒定假设的前提下处理相同的选择和聚类问题.模拟结果显示此方法比Peddada和Simmons-Peddada方法更好地控制了假阳性率.

英文摘要：

Via the application of Shi and Shi-Jiang algorithms and a Bootstrap sampling technique,it proposed a generalized order-restricted inference methodology for the same selecting and clustering problem without satisfying the homoscedasticity assumption.Simulation results show that the procedure can control the false positive rate better than that developed by Peddada et al and Simmons and Peddada.

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期刊信息
  • 《东北师大学报：自然科学版》
  • 北大核心期刊（2011版）
  • 主管单位:教育部
  • 主办单位:东北师范大学
  • 主编：刘宝
  • 地址：长春市净月大街2555号
  • 邮编：130117
  • 邮箱：dslkxb@nenu.edu.cn
  • 电话：0431-89165992
  • 国际标准刊号：ISSN：1000-1832
  • 国内统一刊号：ISSN：22-1123/N
  • 邮发代号:12-43
  • 获奖情况:
  • 中文综合性科学技术类核心期刊,中国科学引文数据库来源期刊,中国科技论文统计源期刊,中国期刊方阵“双效”期刊
  • 国内外数据库收录:
  • 美国化学文摘（网络版）,美国数学评论（网络版）,德国数学文摘,美国生物科学数据库,英国动物学记录,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:7830