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Sparse Independence Component Analysis for Competitive Endogenous RNA Co-Module Identification in Liver Hepatocellular Carcinoma.

Yuhu ShiLili ZhouWeiming ZengBoyang WeiJin Deng
Published in: IEEE journal of translational engineering in health and medicine (2023)
It may provide insights into the function of lncRNAs and molecular mechanism of LIHC. Clinical and Translational Impact Statement-The results on LIHC dataset demonstrate that the proposed sparse ICA method can effectively discover biologically functional expression common modules, which may provide insights into the function of IncRNAs and molecular mechanism of LIHC.
Keyphrases
  • poor prognosis
  • network analysis
  • neural network
  • binding protein
  • bioinformatics analysis