Author

Nima Zaghari

University of California, Los Angeles

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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Neuroscience· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1 Organism:mouse· 1 Organism:rat· 1

Frequent Co-Authors

Aaron Karlsberg· 1 shared Douglas V. ArnesoniD· 1 shared Graciel DiamanteiD· 1 shared Jennifer GarcíaiD· 1 shared Jessica DingiD· 1 shared Jessica YangiD· 1 shared Lu Li· 1 shared Montgomery BlencoweiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperNeuroscience

Aaron Karlsberg

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Author profile →

2 papers

Recent·Most cited

Predictive Deep Learning Model for Neural Vessel Occlusion

Aaron Karlsberg, Sandy Kim, Nima Zaghari, Lu Li

This paper develops a deep learning model to predict neural vessel occlusion sites from cerebral angiograms, achieving high accuracy and intersection over union metrics.

bioRxiv · Sep 27, 2023 · PreprintNeuroscience

PharmOmics: A Species- and Tissue-specific Drug Signature Database and Online Tool for Drug Repurposing

Yen-Wei Chen, Graciel Diamante, Jessica Ding, Thien Xuan Nghiem, Jessica Yang, Sung Min Ha, Peter Cohn, Douglas V. Arneson, Montgomery Blencowe, Jennifer García, Nima Zaghari, Paul Patel, Xia Yang

PharmOmics predicts drug repurposing by analyzing species- and tissue-specific drug signatures from genomic data and validates predictions in mice.

bioRxiv · Mar 30, 2021 · PreprintSystems Biology