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MEETING: Interactions between Omics and Statistics: Analyzing High Dimensional Data to be held at the 8th Intl Purdue Symposium on Statistics June 20-24, 2012, West Lafayette, IN

MEETING: Interactions between Omics and Statistics: Analyzing High Dimensional Data to be held at the 8th Intl Purdue Symposium on Statistics June 20-24, 2012, West Lafayette, IN
会议:组学与统计学之间的相互作用:分析高维数据将于 2012 年 6 月 20-24 日在印第安纳州西拉斐特举行的第八届普渡国际统计研讨会上举行
批准号:
1240803
负责人:
Min Zhang
金额:
$1.6万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-05-01 至 2013-04-30

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中文摘要
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英文摘要
To meet the challenges brought by the increasingly amount of high-throughput data generated in many fields, especially in the area of plant genome research, a one-day session entitled "Interactions Between Omics and Statistics: Analyzing High Dimensional Data" will be held as part of the 8th International Purdue Symposium on Statistics June 20 - 24, 2012. The theme of the overall symposium is "Diversity in the Statistical Sciences for the 21st Century" and the session will be organized as an interactive frontier for prestigious researchers within plant biology and statistics, to bridge the gap between plant biologists and statisticians, and provide new insight into addressing the issues associated with high-dimensional data analysis. The topics of presentations include, but are not limited to, an overall introduction of high dimensional omics data, the special statistical challenges of these data, and the newly developed statistical methods to analyze these high dimensional data. In addition, future directions will be discussed to further improve the analysis of such high dimensional omics data. A companion workshop featured in the symposium entitled "iPlant Data Store and iPlant Discovery Environment" will be organized and presented by the iPlant Collaborative. NSF funds will in part defray the costs of participation of graduate students and postdocs to attend the symposium, session and workshop as part of their training in the highly interdisciplinary field of statistical genomics.
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