Standardized median difference for quality control in high-throughput screening

Wenxian Huang, Xiaohua Douglas Zhang, Yong Li, William Wubao Wang, Keith Soper

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

High-throughput screening (HTS) of large-scale ribonucleic acid interference (RNAi) libraries has been widely used in functional genomics in recent years. The Z-factor and strictly standardized mean difference (SSMD) have already become two popular methods for quality control (QC) in HTS experiments. This paper is intended to put forward a robust parameter, standardized median difference (SMD), for group comparison and derive some statistical properties of SMD, such as maximum likelihood estimate (MLE), moment-method (MM) estimate and plug-in estimate of SMD as well as their relative asymptotical distributions. Using the simulations, the plug-in estimate of SMD obtains QC results robust to outliers whereas the Z-factor and SSMD obtain QC results sensitive to outliers. Meanwhile, compared to other QC metrics, the SMD also obtains non-inferior QC results when there are no outliers.

Original languageEnglish
Title of host publicationProceedings of 2012 International Symposium on Information Technologies in Medicine and Education, ITME 2012
Pages515-518
Number of pages4
DOIs
StatePublished - 2012
Event2012 International Symposium on Information Technologies in Medicine and Education, ITME 2012 - Hokkaido, Japan
Duration: Aug 3 2012Aug 5 2012

Publication series

NameProceedings of 2012 International Symposium on Information Technologies in Medicine and Education, ITME 2012
Volume1

Conference

Conference2012 International Symposium on Information Technologies in Medicine and Education, ITME 2012
Country/TerritoryJapan
CityHokkaido
Period8/3/128/5/12

ASJC Scopus subject areas

  • Information Systems
  • Biomedical Engineering

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