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A negative selection heuristic to predict new transcriptional targets
BACKGROUND: Supervised machine learning approaches have been recently adopted in the inference of transcriptional targets from high throughput trascriptomic and proteomic data showing major improvements from with respect to the state of the art of reverse gene regulatory network methods. Beside trad...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2013
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3548675/ https://ncbi.nlm.nih.gov/pubmed/23368951 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-14-S1-S3 |
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