On the art of identifying effective and specific siRNAs
By Y. Pei, Thomas Tuschl. Nature Methods, 2006
321 citations recorded by the source corpus.
Subfields: Cancer Research, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/a783b20282f23ae1b644eb007385b713a1ec1fff
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In Cancer Research
In Molecular Biology
Citations in the corpus
- Interfering with disease: a progress report on siRNA-based therapeutics (2007, background): “Algorithms to predict effective siRNAs, based on common features of siRNAs identified by empirical testing, are available on the web 11, 12 .”
- A structural analysis of in vitro catalytic activities of hammerhead ribozymes (2007, unknown): “Furthermore, off-target effects by RNAi have been well noted [6-10].”
- Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study (2010, background): “Although various statistical and machine learning methods have been proposed in the last few years [24,27,28], there is limited success in predicting siRNA efficacy due to the diversity of data and limited sizes of available siRNA datasets.”