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 Cancer Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 3 Assay:bulk RNA-seq· 2 Organism:human· 2 Research Focus:clustering· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Golnaz TaheriiD· 3 shared Marcell Szalai· 1 shared Panagiotis PapapetrouiD· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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3 shared papersCancer Biology

Golnaz TaheriORCID

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3 papers

Recent·Most cited

Cancer BiologyCommunications in computer and information sciencePeer-reviewedDec 31, 2024

Unveiling Driver Modules in Lung Cancer: A Clustering-Based Gene-Gene Interaction Network Analysis

Golnaz Taheri, Marcell Szalai, Mahnaz Habibi, Panagiotis Papapetrou

This study identifies lung cancer-specific driver modules using a clustering-based gene-gene interaction network analysis combined with machine learning.

3 citations

humanbulk RNA-seq

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Systems BiologyApplied Soft ComputingPeer-reviewedAug 17, 2022

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.

23 citations

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintMay 18, 2022

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.

4 citations

machine learning (classical)

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