The Boolean implication networks outperformed Bayesian networks, Pearson’s correlation networks, and other Boolean networks in constructing genome-scale co-expression networks evaluated with comprehensive biological pathways and Gene Ontology in MSigDB.

References:

Guo NL, Wan YW. Pathway-based identification of a smoking associated 6-gene signature predictive of lung cancer risk and survival. Artificial Intelligence in Medicine 2012 Jun;55(2):97-105.

Ye Q, Singh S, Qian PR, Guo NL. Immune-Omics Networks of CD27, PD1, and PDL1 in Non-Small Cell Lung Cancer. Cancers. 2021;13(17). Epub 2021/09/11. doi: 10.3390/cancers13174296. PubMed PMID: 34503105.

Features

  • Boolean implication networks
  • DNA copy number variation
  • Gene expression

Project Samples

CD27 networks

Project Activity

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Registered

2021-10-02
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