High dimensional extension of the growth curve model and its application in genetics
作者: Sayantee JanaNarayanaswamy BalakrishnanDietrich von RosenJemila Seid Hamid
作者单位: 1McMaster University
2Swedish Agricultural University
3Linköping University
4St. Michael’s Hospital
刊名: Statistical Methods & Applications, 2017, Vol.26 (2), pp.273-292
来源数据库: Springer Nature Journal
DOI: 10.1007/s10260-016-0369-4
关键词: Growth curve modelLongitudinal dataHigh-dimensional dataTime course dataGenomic dataGene filtering
英文摘要: Recent advances in technology have allowed researchers to collect large scale complex biological data, simultaneously, often in matrix format. In genomic studies, for instance, measurements from tens to hundreds of thousands of genes are taken from individuals across several experimental groups. In time course microarray experiments, gene expression is measured at several time points for each individual across the whole genome resulting in a high-dimensional matrix for each gene. In such experiments, researchers are faced with high-dimensional longitudinal data. Unfortunately, traditional methods for longitudinal data are not appropriate for high-dimensional situations. In this paper, we use the growth curve model and introduce test useful for high-dimensional longitudinal data and...
原始语种摘要: Recent advances in technology have allowed researchers to collect large scale complex biological data, simultaneously, often in matrix format. In genomic studies, for instance, measurements from tens to hundreds of thousands of genes are taken from individuals across several experimental groups. In time course microarray experiments, gene expression is measured at several time points for each individual across the whole genome resulting in a high-dimensional matrix for each gene. In such experiments, researchers are faced with high-dimensional longitudinal data. Unfortunately, traditional methods for longitudinal data are not appropriate for high-dimensional situations. In this paper, we use the growth curve model and introduce test useful for high-dimensional longitudinal data and...
全文获取路径: Springer Nature  (合作)
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影响因子:0.351 (2012)

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关键词翻译
关键词翻译
  • dimensional 量纲的
  • genomic 染色体组的
  • growth 生长
  • several 各自
  • extension 延长
  • curve 弯曲
  • available 可供应的
  • longitudinal 纵向的
  • evaluate 求...的值
  • filtering 滤波