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ThETA: transcriptome-driven efficacy estimates for gene-based TArget discovery
SUMMARY: Estimating efficacy of gene–target-disease associations is a fundamental step in drug discovery. An important data source for this laborious task is RNA expression, which can provide gene–disease associations on the basis of expression fold change and statistical significance. However, the...
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| Опубликовано в: : | Bioinformatics |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Oxford University Press
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7390989/ https://ncbi.nlm.nih.gov/pubmed/32437556 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa518 |
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