Statistical methods for analysis of high-throughput RNA interference screens
Top Cited Papers
- 30 July 2009
- journal article
- review article
- Published by Springer Nature in Nature Methods
- Vol. 6 (8) , 569-575
- https://doi.org/10.1038/nmeth.1351
Abstract
RNA interference (RNAi) has become a powerful technique for reverse genetics and drug discovery, and in both of these areas large-scale high-throughput RNAi screens are commonly performed. The statistical techniques used to analyze these screens are frequently borrowed directly from small-molecule screening; however, small-molecule and RNAi data characteristics differ in meaningful ways. We examine the similarities and differences between RNAi and small-molecule screens, highlighting particular characteristics of RNAi screen data that must be addressed during analysis. Additionally, we provide guidance on selection of analysis techniques in the context of a sample workflow.This publication has 85 references indexed in Scilit:
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