Predictive modeling of gene expression regulation

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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Bibliographic Details
Main Authors: Chiara Regondi, Maddalena Fratelli, Giovanna Damia, Federica Guffanti, Monica Ganzinelli, Matteo Matteucci, Marco Masseroli
Format: Article
Language:English
Published: BMC 2021-11-01
Series:BMC Bioinformatics
Subjects:
Gene expression regulation
Regulatory network
Cancer
Predictive modeling
Machine learning
Online Access:https://doi.org/10.1186/s12859-021-04481-1

Internet

https://doi.org/10.1186/s12859-021-04481-1

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