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: Purdue University
• 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
• 起止时间: 2012-05-01 至 2013-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1240803&HistoricalAwards=false
• 关键词: MEETING; Interactions; between; Omics; Statistics

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.

为了应对许多领域，特别是植物基因组研究领域产生的越来越多的高通量数据带来的挑战，作为第八届普渡大学国际统计学研讨会的一部分，将于2012年6月20日至24日举行为期一天的题为“组学与统计学之间的相互作用：分析高维数据”的会议。整个研讨会的主题是“21世纪统计科学的多样性”世纪”和会议 将作为植物生物学和统计学领域著名研究人员的互动前沿组织，以弥合植物生物学家和统计学家之间的差距，并为解决与高维数据分析相关的问题提供新的见解。演讲主题包括但不限于高维组学数据的整体介绍、这些数据的特殊统计挑战以及新开发的分析这些高维数据的统计方法。此外，还将讨论未来的方向，以进一步改进此类高维组学数据的分析。 iPlant Collaborative 将组织并举办题为“iPlant 数据存储和 iPlant 发现环境”的专题研讨会配套研讨会。 NSF 资金将部分支付研究生和博士后参加研讨会、会议和讲习班的费用，作为他们在统计基因组学高度跨学科领域培训的一部分。