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Impact of normalization methods on high-throughput screening data with high hit rates and drug testing with dose–response data
Motivation: Most data analysis tools for high-throughput screening (HTS) seek to uncover interesting hits for further analysis. They typically assume a low hit rate per plate. Hit rates can be dramatically higher in secondary screening, RNAi screening and in drug sensitivity testing using biological...
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| Pubblicato in: | Bioinformatics |
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| Autori principali: | , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4653387/ https://ncbi.nlm.nih.gov/pubmed/26254433 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv455 |
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