Author

Maryam Lotfi Shahreza

Isfahan University of TechnologyORCID 0000-0002-0142-4222Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Nasser GhadiriiD· 2 shared Zeinab MalekiiD· 2 shared Erfan Farhangi MalekiiD· 1 shared Mehdi JoodakiiD· 1 shared Parvaneh NikpouriD· 1 shared Sharareh Mahmoudian-HamedaniiD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Nasser GhadiriORCID

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3 papers

Recent·Most cited

Cancer BiologyBiochemistry and Biophysics ReportsPeer-reviewedDec 19, 2024

Investigating Combined Hypoxia and Stemness Indices for Prognostic Transcripts in Gastric Cancer: Machine Learning and Network Analysis Approaches

Sharareh Mahmoudian-Hamedani, Maryam Lotfi Shahreza, Parvaneh Nikpour

This study develops a prognostic decision tree for gastric cancer using hypoxia and stemness scores, identifying genes with high predictive accuracy.

DOI 10.1016/j.bbrep.2024.101897

humanbulk RNA-seq

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BioinformaticsExpert Systems with ApplicationsPeer-reviewedJun 9, 2020

Two distributed semi-supervised algorithms for mining of complex networks using Giraph

Erfan Farhangi Maleki, Nasser Ghadiri, Maryam Lotfi Shahreza, Zeinab Maleki

The paper introduces two distributed label propagation algorithms for heterogeneous networks and evaluates their performance on a biological network for drug repositioning.

3 citations

experimental assay

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BioinformaticsbioRxivPreprintNov 16, 2019

A scalable random walk with restart on heterogeneous networks with Apache Spark for ranking disease-causing genes using type-2 fuzzy data fusion

Mehdi Joodaki, Nasser Ghadiri, Zeinab Maleki, Maryam Lotfi Shahreza

This paper introduces RWRHN-FF, a method for ranking disease-causing genes using type-2 fuzzy data fusion on heterogeneous networks, showing improved performance over existing methods.

1 citation

statistical modelgene regulatory network inference

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