Author

Amirhossein Zarezadeh

University of Science and CulturePrimary ORCID profile (0009-0002-1010-691X · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Amirhossein ZarezadehiD1 paper · University of California, Los Angeles

Biology Disciplines

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Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Albertas NavickasiD· 1 shared Ali Saberi· 1 shared Ali Sharifi‐ZarchiiD· 1 shared Bahar Zirak· 1 shared Delaram PouyabahariD· 1 shared Doowon HuhiD· 1 shared Hani GoodarziiD· 1 shared Lisa FishiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperSystems Biology

Albertas NavickasORCID

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1 paper

Recent·Most cited

Revealing the Grammar of Small RNA Secretion Using Interpretable Machine Learning

Bahar Zirak, Mohsen Naghipourfar, Ali Saberi, Delaram Pouyabahar, Amirhossein Zarezadeh, Lixi Luo, Lisa Fish, Doowon Huh, Albertas Navickas, Ali Sharifi‐Zarchi, Hani Goodarzi

This study introduces ExoGRU, a machine learning model that predicts small RNA secretion from sequence, identifies key RNA-binding proteins, and develops exoCLIP to map RNA interactomes in extracellular vesicles.

Cell Genomics · Mar 8, 2024Peer-reviewedSystems Biology