Author

Asimina Zoitou

Johns Hopkins University

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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Research Focus:differential expression· 2 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:imaging· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Amir KheradmandiD· 1 shared Casey Overby TayloriD· 1 shared Hoang V. DinhiD· 1 shared Jiazhen Zhang· 1 shared JiWon WooiD· 1 shared Joseph L. GreensteiniD· 1 shared Kemar Earl GreeniD· 1 shared Krishna MukundaiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperNeuroscience

Amir KheradmandORCID

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2 papers

Recent·Most cited

A new genome-scale model enables prediction of cancer metabolic dependencies

Hoang V. Dinh, Asimina Zoitou, Jiazhen Zhang, Yihui Shen

The paper introduces a new genome-scale metabolic model, iHME, which improves prediction of metabolic dependencies in cancer cells with higher accuracy and lower computational cost.

bioRxiv · Jul 1, 2026 · PreprintSystems Biology

Deep Learning Detection of Subtle Torsional Eye Movements: Preliminary Results

Krishna Mukunda, Tianyi Ye, Yi Luo, Asimina Zoitou, Kyungmin Kwon, Richa Singh, JiWon Woo, Nikita Sivakumar, Joseph L. Greenstein, Casey Overby Taylor, Amir Kheradmand, Kemar Earl Green

The paper develops deep learning models to detect torsional eye movements using video-oculography data, achieving 0.9308 AUROC and 86.79% accuracy.

bioRxiv · May 26, 2024 · PreprintNeuroscience