R/data.Miller2015.r

In BRL-BCM/CTD: A Method for 'Connecting The Dots' in Weighted Graphs

#' @title Miller et al. (2015)
#' @description Untargeted metabolomic analysis for the clinical screening of 
#' inborn errors of metabolism. Global metabolic profiling obtained by 
#' untargeted mass spectrometry-based metabolomic platform for the detection
#' of novel and known inborn errors of metabolism.  This untargeted approach 
#' collected z-score values for ~1200 unique compounds (including 
#' ~500 named human analytes) from human plasma.  Data set contains 
#' 186 individual plasma samples (118 confirmed inborn errors of
#' metabolism).  The outcome describes excellent sensitivity and 
#' specificity for the detection of a wide rage of metabolic disorders 
#' and identified novel biomarkers for some diseases.
#' @name Miller2015
#' @aliases Miller2015
#' @docType data
#' @usage data(Miller2015)
#' @format Miller2015 - The data frame with 1203 metabolite features as rows,
#' and 186 untargeted metabolomics patient samples as columns, alongside 16
#' metabolite annotations. The first row also provides the biochemical
#' diagnosis confirmed for each patient sample.
#' @keywords datasets
#' @references Miller et al. (2015). Untargeted metabolomic analysis for the
#' clinical screening of inborn errors of metabolism. J Inherit Metab Dis,
#' 38: 1029–1039. <doi:10.1007/s10545-015-9843-7>
#' @source Supporting Information: jimd1029-sup-0001.xls
#' (\href{https://tinyurl.com/yypsbghe}{Dataset})
#' @examples
#' data(Miller2015)
"Miller2015"