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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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Autori principali: Cerulo, Luigi, Paduano, Vincenzo, Zoppoli, Pietro, Ceccarelli, Michele
Natura: Artigo
Lingua:Inglês
Pubblicazione: BioMed Central 2013
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Accesso online: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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