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Evaluation of a novel metric for quality control in an RNA interference high throughput screening assay
Xiaohua Douglas Zhang1; Amy S. Espeseth2; Namjin Chung3; Marc Ferrer3
2006
Conference NameProceedings of the 2006 International Conference on Bioinformatics & Computational Biology
Source PublicationBIOCOMP
Conference DateJune 26-29, 2006
Conference PlaceLas Vegas, Nevada, USA
Abstract

The application of genome scale RNA interference (RNAi) relies on the development of high quality RNAi high throughput screening (HTS) assays. An important quality control (QC) characteristic in an HTS assay is how well the positive controls, samples, and negative controls can be separated from each other in the assay. Signal-to-noise ratio, signal-to-background ratio, Z-factor and Z’-factor have been adopted to evaluate this QC characteristic in small molecule HTS assays. However, none of them have clear probability meanings and strong statistical bases. A pair of easily interpretable and theoretically based metrics, strictly standardized mean difference (SSMD) and coefficient of variability in difference (CV D), were proposed for measuring population separation. In this paper, we investigated the use of SSMD along with CV D to evaluate the quality of RNAi HTS assays and compared it with other measures. Applying this pair of metrics to an in-house RNAi HTS assay demonstrated that SSMD is superior to signal-to-noise ratio and Z’-factor for QC evaluation. The cutoff criterion of SSMD has a good theoretical basis. Therefore, SSMD has the capacity to become a generally accepted QC metric in HTS assays.

KeywordRna Interference Coefficient Of Variability In Difference Z-factor Quality Control High Throughput Screening Strictly Standardized Mean Difference
Language英语
Fulltext Access
Document TypeConference paper
CollectionFaculty of Health Sciences
Affiliation1.Biometrics Research, Merck Research Laboratories (MRL), West Point, PA 19486
2.Molecular & Cellular Technology, MRL, West Point, PA 19486
3.Automated Biotechnology, MRL, North Wales, PA 19454
Recommended Citation
GB/T 7714
Xiaohua Douglas Zhang,Amy S. Espeseth,Namjin Chung,et al. Evaluation of a novel metric for quality control in an RNA interference high throughput screening assay[C],2006.
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