This code is related to our recently proposed method for:

• Studying SARS-CoV-2 and (H1N1) influenza PPINs to investigate similarities and differences between them.
• Examining complex network properties such as graph density, degree distribution, and 21 different centrality measures.
• Fitting power law and exponential distributions.
• Dimensionality reduction and Applying unsupervised learning methods to reveal appropriate centrality measures.

This program is suitable for R Version 1.1.453 and above versions.

Khorsand B, Savadi, A., & Naghibzadeh, M. (2020). SARS-CoV-2-human protein-protein interaction network. Informatics in medicine unlocked 2020, 20(100413).

Khorsand B, Savadi, A., Zahiri, J., & Naghibzadeh, M. : Alpha influenza virus infiltration prediction using virus-human protein–protein interaction network. . Math Biosci Eng 2020, 17(4)(3109-29.).

Please do not hesitate to contact us if there is anything we may be able to help you with: Hakimeh Khojasteh, [email protected]