東京大学医科学研究所

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学友会セミナー

学友会セミナー:2018年10月16日

開催日時: 2018年10月16日 16:15 ~ 17:00
開催場所: 総合研究棟8階大セミナー室 (入口にて内線75615, 75617 or 75618に電話下さい。)
講師: Claus Thorn Ekstrøm
所属: Professor, Section of Biostatistics, Department of Public Health, University of Copenhagen
演題: Sequential rank agreement methods for comparison of ranked lists
概要:

Ranked lists of predictors are common occurrences as part of statistical analyses and they frequently appear in the results section of scientific publications. Often, the aim is to find a consensus set of shared predictors from the top of these ranked lists. Similarly, for large scale *omics-data it can be necessary to identify the importance of SNPs, metabolites, proteins, or expression using different methods of analysis and find the consensus set of predictors across the different analysis methods or under slightly different conditions.
In this work we show how sequential rank agreement can be used to gauge the similarity among ranked lists such that it is possible to make inference about how far the lists agree on the ranking which enables the investigator to make an improved decision on the consensus set of predictors that are of interest. Our method provides both an intuitive interpretation and can be applied to any number of lists even if these are censored. To demonstrate the performance of our approach we show results from a both a simulation study and an application to genomics data, and we illustrate how sequential rank agreement can combine and improve results from both parametric and
non-parametric statistical learning algorithms.

世話人: 〇宮野 悟  (DNA情報解析分野)
 井元 清哉  (健康医療データサイエンス分野)