文章基本信息

标题：Analysis of proteomics data: Block $k$-mean alignment
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作者：Mara Bernardi ; Laura M. Sangalli ; Piercesare Secchi 等
期刊名称：Electronic Journal of Statistics
印刷版ISSN：1935-7524
出版年度：2014
卷号：8
期号：2
页码：1714-1723
DOI：10.1214/14-EJS900A
语种：English
出版社：Institute of Mathematical Statistics
摘要：We analyze the proteomics data introducing a block $k$-mean alignment procedure. This technique is able to jointly align and cluster the data, accounting appropriately for the block structure of these data, that includes measurement repetitions for each patient. An analysis of area-under-peaks, following the alignment, separates patients who respond and those who do not respond to treatment.