Author

S. Farahmand

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Assay:electrophysiology· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Fekete· 1 shared A. X. Chen· 1 shared B. Kim· 1 shared D. Armstrong· 1 shared D. Mogul· 1 shared J. J. Sutherland· 1 shared L. Urban· 1 shared R. Ietswaart· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperPharmacology & Toxicology

A. Fekete

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2 papers

Recent·Most cited

Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology

R. Ietswaart, S. Arat, A. X. Chen, S. Farahmand, B. Kim, W. DuMouchel, D. Armstrong, A. Fekete, J. J. Sutherland, L. Urban

The paper uses machine learning to link drug targets with adverse drug reactions using in vitro pharmacology data and FDA reports, identifying 221 target-ADR associations.

bioRxiv · Mar 12, 2020Pharmacology & Toxicology

Using Automated Detection and Classification of Interictal HFOs to Improve the Identification of Epileptogenic Zones in Preparation for Epilepsy Surgery

S. Farahmand, T. Sobayo, D. Mogul

This paper proposes an automated method to detect and classify interictal HFOs to improve identification of epileptogenic zones for epilepsy surgery, showing high sensitivity and clinical relevance.

bioRxiv · Jun 23, 2019 · PreprintBioengineering