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A semi–supervised tensor regression model for siRNA efficacy prediction
BACKGROUND: Short interfering RNAs (siRNAs) can knockdown target genes and thus have an immense impact on biology and pharmacy research. The key question of which siRNAs have high knockdown ability in siRNA research remains challenging as current known results are still far from expectation. RESULTS...
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| Pubblicato in: | BMC Bioinformatics |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4379720/ https://ncbi.nlm.nih.gov/pubmed/25888201 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-015-0495-2 |
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