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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Detalles Bibliográficos
Autores principales: Cerulo, Luigi, Paduano, Vincenzo, Zoppoli, Pietro, Ceccarelli, Michele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548675/
https://www.ncbi.nlm.nih.gov/pubmed/23368951
http://dx.doi.org/10.1186/1471-2105-14-S1-S3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548675/
https://www.ncbi.nlm.nih.gov/pubmed/23368951
http://dx.doi.org/10.1186/1471-2105-14-S1-S3

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