Statistical Methods for Analysis of Protein Microarray Data Using R

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Number of pages11
StatePublished - 2021

Publication series

NameMethods in Molecular Biology
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029


  • Biostatistics
  • Correlation
  • False discovery rate
  • Mann-Whitney U test
  • Nonparametric test
  • Sample size calculation
  • Significance level
  • p-Value
  • q-Value
  • t-Test

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics


Dive into the research topics of 'Statistical Methods for Analysis of Protein Microarray Data Using R'. Together they form a unique fingerprint.

Cite this