@inbook{dcf1661438b548b1acd6aedeaa78adf0,
title = "Statistical Methods for Analysis of Protein Microarray Data Using R",
abstract = "This chapter aims to provide statistical methods for analyzing protein microarray data. It uses a publicly available protein array dataset and emphasizes practical applications in statistics using R, a statistical software. A wide range of statistical methods will be demonstrated, including descriptive statistics, hypothesis testing, false discovery rate, receiver operating characteristic curve, correlation, visualization, and power analysis. The R code used to perform the statistical analyses will be provided.",
keywords = "Biostatistics, Correlation, False discovery rate, Mann-Whitney U test, Nonparametric test, Sample size calculation, Significance level, p-Value, q-Value, t-Test",
author = "Yunro Chung",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Science+Business Media, LLC, part of Springer Nature.",
year = "2021",
doi = "10.1007/978-1-0716-1562-1_18",
language = "English (US)",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "269--279",
booktitle = "Methods in Molecular Biology",
}