Author

Saeed Soleymanjahi

Harvard UniversityORCID 0000-0002-9281-3476Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:graph neural network· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Amirhossein Dehqan Banadaki· 1 shared Farzad MidjaniiD· 1 shared Fateme Zahra KeshtkariD· 1 shared Mahdi MalekpouriD· 1 shared Mohammadreza Shaghouzi· 1 shared Nicholas O. DavidsoniD· 1 shared Nima RahimikashkooliiD· 1 shared Samaneh HashemiiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperSystems Biology

Amirhossein Dehqan Banadaki

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2 papers

Recent·Most cited

A Biologically Informed Heterogeneous Graph Neural Network for Multi-Task Prediction of ncRNA-Metastasis-Cancer Interactions

Farzad Midjani, Mohammadreza Shaghouzi, Amirhossein Dehqan Banadaki, Nima Rahimikashkooli, Fateme Zahra Keshtkar, Mahdi Malekpour, Samaneh Hashemi, Yasmin Genevieve Hernandez-Barco, Saeed Soleymanjahi

The paper introduces a heterogeneous graph neural network to predict ncRNA interactions with cancer types and metastatic events, achieving high AUROC and F1 scores.

bioRxiv · Aug 21, 2026 · PreprintSystems Biology

APOBEC1 mediated C-to-U RNA editing: target sequence and trans-acting factor contribution to 177 RNA editing events in 119 murine transcripts in-vivo

Saeed Soleymanjahi, Valérie Blanc, Nicholas O. Davidson

The paper identifies 177 C-to-U RNA editing events in murine transcripts, analyzes cis-acting sequence features and trans-acting factors, and develops a predictive model for editing efficiency.

RNA · Jun 3, 2021Peer-reviewedBioinformatics