UM  > Faculty of Health Sciences
Threshold determination of strictly standardized mean difference in RNA interference high throughput screening assays
Zhang X.D.
2007-12-01
Source PublicationLecture Notes in Engineering and Computer Science
Pages261-266
AbstractRNA interference (RNAi) is a powerful genetic analysis tool for the effficient silencing of target genes and RNAi high throughput screening (HTS) is becoming an important tool in drug discovery and development. The application of RNAi HTS relies on good analytic methods for quality control and hit selection in RNAi HTS experiments. Recently, strictly standardized mean difference (SSMD) has been proposed for measuring the magnitude of difference between two populations. For the use of SSMD in either QC or hit selection, we should determine the threshold of SSMD. To do so, we first present and prove a theorem that establishes the link between SSMD and d -probability. Based on the original meaning of SSMD and its probability interpretation, we then propose the cutoff criteria for quality control and hit selection respectively and discuss how to apply these thresholds in RNAi HTS experiments. The link between SSMD and d-probability and the SSMD thresholds constructed in this paper provide a basis for the use of SSMD in both quality control and hit selection in RNAi HTS experiment.
KeywordD+-probability High throughput screening Hit selection Quality control RNA interference Strictly standardized mean difference
URLView the original
Language英語
Fulltext Access
Document TypeConference paper
CollectionFaculty of Health Sciences
AffiliationMerck Research Laboratories
Recommended Citation
GB/T 7714
Zhang X.D.. Threshold determination of strictly standardized mean difference in RNA interference high throughput screening assays[C],2007:261-266.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhang X.D.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang X.D.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang X.D.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.