This is the Windows app named GENET-CNV whose latest release can be downloaded as Genet_1.0.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
GENET-CNV
DESCRIPTION:
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
This is an application that can also be fetched from https://sourceforge.net/projects/genet-cnv/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.