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Data mining of the cancer-related lncRNAs GO terms and KEGG pathways by using mRMR method

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Publication:669029
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DOI10.1016/j.mbs.2018.08.001zbMath1409.92092OpenAlexW2886129872WikidataQ90817351 ScholiaQ90817351MaRDI QIDQ669029

Lin Lu, Yu-Dong Cai, Fei Yuan, YuHang Zhang, Shaopeng Wang

Publication date: 20 March 2019

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2018.08.001


zbMATH Keywords

cancer-related lncRNAGO termKEGG pathwaylncRNAmax-relevance min-redundancy


Mathematics Subject Classification ID

Biochemistry, molecular biology (92C40) Computational methods for problems pertaining to biology (92-08)


Related Items (2)

Editorial. The application of machine learning to disease diagnosis and treatment ⋮ A novel matched-pairs feature selection method considering with tumor purity for differential gene expression analyses


Uses Software

  • KEGG
  • TopHat


Cites Work

  • Mutual information functions versus correlation functions.


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