Author

Mahnaz Habibi

Qazvin Islamic Azad UniversityORCID 0000-0002-8969-2706Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

Golnaz TaheriiD· 2 shared

Activity by Year

2022-2022 · peak 2/yr

2 papers

Recent·Most cited

Comprehensive analysis of pathways in Coronavirus 2019 (COVID-19) using an unsupervised machine learning method

Golnaz Taheri, Mahnaz Habibi

This study uses an unsupervised machine learning approach to analyze pathways in COVID-19, identifying key pathways related to SARS-CoV-2 infection.

Applied Soft Computing · Aug 17, 2022Peer-reviewedSystems Biology

Using unsupervised learning algorithms to identify essential genes associated with SARS-CoV-2 as potential therapeutic targets for COVID-19

Golnaz Taheri, Mahnaz Habibi

The paper identifies 18 essential genes for SARS-CoV-2 pathogenesis using unsupervised learning on biological networks and features.

bioRxiv · May 18, 2022 · PreprintBioinformatics