Author

Seyed Amir Malekpour

Institute for Research in Fundamental SciencesORCID 0000-0002-3525-3548Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Organism:C. elegans· 1 Organism:human· 1 Research Focus:phylogenetics / evolution· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Ata KaliradiD· 1 shared Mohammad Eskandarian· 1 shared Sina MajidianiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Ata KaliradORCID

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2 papers

Recent·Most cited

Interpretable Predictive Modeling for Medical Data Using Boolean Rule-aware Regression

Mohammad Eskandarian, Seyed Amir Malekpour

This paper introduces RBBR, a framework that generates interpretable Boolean rules for medical prediction, achieving strong performance and clinical relevance across six datasets.

bioRxiv · May 18, 2026 · PreprintBioinformatics

Inferring the selective history of CNVs using a maximum likelihood model

Seyed Amir Malekpour, Ata Kalirad, Sina Majidian

The paper introduces PoMoCNV, a likelihood-based method to infer evolutionary parameters of CNVs using population genetics data, validated on C. elegans datasets.

Genome Biology and Evolution · Mar 1, 2025Peer-reviewedBioinformatics