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  "Title": "Interaction Analysis of Repeated Measure Data",
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  "Author": "Fei Zhou, Jie Ren, Yuwen Liu, Xiaoxi Li, Cen Wu, Yu Jiang",
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  "Description": "Extensive penalized variable selection methods have been\ndeveloped in the past two decades for analyzing high\ndimensional omics data, such as gene expressions, single\nnucleotide polymorphisms (SNPs), copy number variations (CNVs)\nand others. However, lipidomics data have been rarely\ninvestigated by using high dimensional variable selection\nmethods. This package incorporates our recently developed\npenalization procedures to conduct interaction analysis for\nhigh dimensional lipidomics data with repeated measurements.\nThe core module of this package is developed in C++. The\ndevelopment of this software package and the associated\nstatistical methods have been partially supported by an\nInnovative Research Award from Johnson Cancer Research Center,\nKansas State University.",
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