Integrating Expression Data-Based Deep Neural Network Models with Biological Networks to Identify Regulatory Modules for Lung Adenocarcinoma

Integrating Expression Data-Based Deep Neural Network Models with Biological Networks to Identify Regulatory Modules for Lung Adenocarcinoma

Lung adenocarcinoma is the most common type of primary lung cancer, but the regulatory mechanisms during carcinogenesis remain unclear. The identification of regulatory modules for lung adenocarcinoma has become one of the hotspots of bioinformatics. In this paper, multiple deep neural network (DNN)...

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Bibliographic Details
Main Authors: Lei Fu, Kai Luo, Junjie Lv, Xinyan Wang, Shimei Qin, Zihan Zhang, Shibin Sun, Xu Wang, Bei Yun, Yuehan He, Weiming He, Wan Li, Lina Chen
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Biology
Subjects:
regulatory module
deep neural network
competing endogenous RNA
lung adenocarcinoma
biological network
Online Access:https://www.mdpi.com/2079-7737/11/9/1291

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https://www.mdpi.com/2079-7737/11/9/1291

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