Integrating Expression Data-Based Deep Neural Network Models with Biological Networks to Identify Regulatory Modules for Lung Adenocarcinoma
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DOI: 10.3390/biology11091291
Abstract: Simple Summary The growing evidence suggested that competing endogenous RNAs (ceRNAs) have significant associations with tumor occurrence and progression, yet the regulatory mechanism of them in lung adenocarcinoma remains unclear. Identification of the regulatory modules… read more here.
Keywords: modules lung; network; lung adenocarcinoma; expression ... See more keywords