Multi-Run Concrete Autoencoder to Identify Prognostic lncRNAs for 12 Cancers

Multi-Run Concrete Autoencoder to Identify Prognostic lncRNAs for 12 Cancers

Background: Long non-coding RNA plays a vital role in changing the expression profiles of various target genes that lead to cancer development. Thus, identifying prognostic lncRNAs related to different cancers might help in developing cancer therapy. Method: To discover the critical lncRNAs that can...

Full description

Bibliographic Details
Main Authors: Abdullah Al Mamun, Raihanul Bari Tanvir, Masrur Sobhan, Kalai Mathee, Giri Narasimhan, Gregory E. Holt, Ananda Mohan Mondal
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:International Journal of Molecular Sciences
Subjects:
autoencoder
concrete autoencoder
deep learning
feature selection
lncRNA
mrCAE
Online Access:https://www.mdpi.com/1422-0067/22/21/11919

Internet

https://www.mdpi.com/1422-0067/22/21/11919

Similar Items