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

Abstract
Long non-coding RNA plays a vital role in changing the expression profiles of various target genes that leads to cancer development. Thus, identifying prognostic lncRNAs related to different cancers might help in developing cancer therapy. To discover the critical lncRNAs that can identify the origin of different cancers, we proposed to use the state-of-the-art deep learning algorithm Concrete Autoencoder (CAE) in an unsupervised setting, which...
Paper Details
Title
Multi-run Concrete Autoencoder to Identify Prognostic lncRNAs for 12 Cancers
Published Date
Aug 2, 2021
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