Author

Hakimeh Khojasteh

University of ZanjanORCID 0000-0003-4317-9023Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1 Research Focus:gene regulatory network inference· 1 Assay:protein structure· 1 Assay:proteomics· 1

Frequent Co-Authors

Alireza KhanteymooriiD· 2 shared Mohammad Hossein Olyaee· 2 shared Ali Ghanbari SorkhiiD· 1 shared Jamshid PirgaziiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 2 mutual co-author links

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2 shared papersBioinformatics

Alireza KhanteymooriORCID

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3 papers

Recent·Most cited

BioinformaticsPLoS ONEPeer-reviewedAug 3, 2023

Improving prediction of drug-target interactions based on fusing multiple features with data balancing and feature selection techniques

Hakimeh Khojasteh, Jamshid Pirgazi, Ali Ghanbari Sorkhi

This paper introduces SRX-DTI, a method for drug-target interaction prediction using feature selection and data balancing techniques, achieving better performance than existing methods.

21 citations

proteomicsmachine learning (classical)

𝕏 PostBluesky

BioinformaticsScientific ReportsPeer-reviewedApr 7, 2022

Comparing protein-protein interaction networks of SARS-CoV-2 and (H1N1) influenza using topological features

Hakimeh Khojasteh, Alireza Khanteymoori, Mohammad Hossein Olyaee

The paper compares SARS-CoV-2 and H1N1 influenza protein-protein interaction networks using topological features to identify essential proteins and assess network properties.

11 citations

protein structurestatistical model

𝕏 PostBluesky

BioinformaticsInformatics in Medicine UnlockedPeer-reviewedJan 1, 2021

EnGRNT: Inference of gene regulatory networks using ensemble methods and topological feature extraction

Hakimeh Khojasteh, Alireza Khanteymoori, Mohammad Hossein Olyaee

This paper introduces EnGRNT, an ensemble method for gene regulatory network inference that addresses class imbalance, showing improved performance on simulated Escherichia coli data.

5 citations

E. colibulk RNA-seq

𝕏 PostBluesky