New Method for Selecting Effective siRNAs in Genome-wide Screens
Author Information
Author(s): Zhang Xiaohua Douglas
Primary Institution: Merck Research Laboratories
Hypothesis
Can the strictly standardized mean difference (SSMD) improve the selection of effective siRNAs in high-throughput screening?
Conclusion
The new analytic method for hit selection provided in this paper offers a good analytic tool for selecting effective siRNAs, better than current analytic methods.
Supporting Evidence
- SSMD measures the magnitude of impact more effectively than currently used metrics.
- The SSMD-based method maintains a balanced control of false positives and false negatives.
- The method works effectively in both primary and confirmatory screens.
Takeaway
This study introduces a new way to find the best siRNAs for research, which helps scientists make better choices when testing.
Methodology
The study proposes an SSMD-based method for hit selection in RNAi high-throughput screening, utilizing non-central t-distribution properties.
Limitations
The method relies on the assumption of known population values of SSMD, which may not always be available.
Digital Object Identifier (DOI)
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