Author

Maryam Shahdoust

Institute for Research in Fundamental SciencesORCID 0000-0003-1176-6784Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

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Approach:Bayesian inference· 2 Research Focus:gene regulatory network inference· 2 Assay:bulk RNA-seq· 1 Organism:Drosophila· 1 Organism:E. coli· 1 Assay:metagenomics· 1

Frequent Co-Authors

Rosa AghdamiD· 2 shared Golnaz TaheriiD· 1 shared Mehdi SadeghiiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

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3 top collaborators · 2 mutual co-author links

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2 shared papersBioinformatics

Rosa AghdamORCID

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2 papers

Recent·Most cited

BioinformaticsBMC BioinformaticsPeer-reviewedJun 26, 2026

SimMapNet: A Bayesian Framework for Gene Regulatory Network Inference Using Gene Ontology Similarities as External Hint

Maryam Shahdoust, Rosa Aghdam, Mehdi Sadeghi

SimMapNet improves gene regulatory network inference by integrating Gene Ontology similarities, outperforming existing methods on bacterial and fly datasets.

1 citation

E. coliDrosophila

𝕏 PostBluesky

BioinformaticsbioRxivPreprintFeb 25, 2026

PhyMapNet: A Phylogeny-Guided Bayesian Framework for Reliable Microbiome Network Inference

Maryam Shahdoust, Rosa Aghdam, Golnaz Taheri

PhyMapNet infers microbiome networks using a phylogeny-guided Bayesian framework, showing improved robustness and reproducibility compared to existing methods.

DOI 10.64898/2026.02.24.707538

metagenomicsBayesian inference

𝕏 PostBluesky