Predictive modeling of gene expression regulation

Abstract 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...

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Autores principales: Chiara Regondi, Maddalena Fratelli, Giovanna Damia, Federica Guffanti, Monica Ganzinelli, Matteo Matteucci, Marco Masseroli
Formato: article
Lenguaje:EN
Publicado: BMC 2021
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Acceso en línea:https://doaj.org/article/44fdf15ce88a4e7ebad41d54628386a8
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