Predictive modeling of gene expression regulation

BACKGROUND: In-depth analysis of regulation networks of genes aberrantly expressed in cancer is essential for better understanding tumors and identifying key genes that could be therapeutically targeted. RESULTS: We developed a quantitative analysis approach to investigate the main biological relati...

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Detalles Bibliográficos
Autores principales: Regondi, Chiara, Fratelli, Maddalena, Damia, Giovanna, Guffanti, Federica, Ganzinelli, Monica, Matteucci, Matteo, Masseroli, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626902/
https://www.ncbi.nlm.nih.gov/pubmed/34837938
http://dx.doi.org/10.1186/s12859-021-04481-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626902/
https://www.ncbi.nlm.nih.gov/pubmed/34837938
http://dx.doi.org/10.1186/s12859-021-04481-1

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