Author

M. A. Mandegar

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 Cell Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:genetic perturbation / CRISPR· 1 Assay:imaging· 1

Frequent Co-Authors

A. Budan· 1 shared A. R. G. Libby· 1 shared B. R. Conklin· 1 shared D. A. Joy· 1 shared F. Farshidfar· 1 shared F. Grafton· 1 shared J. Ho· 1 shared J. M. Muncie· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCell Biology

A. Budan

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Deep Learning Predicts Patterns of Cardiotoxicity in a High-Content Screen Using Induced Pluripotent Stem Cell-Derived Cardiomyocytes

F. Grafton, J. Ho, S. Ranjbarvaziri, F. Farshidfar, A. Budan, S. Steltzer, M. Maddah, K. E. Loewke, K. Green, S. Patel, T. Hoey, M. A. Mandegar

This paper uses deep learning and high-content screening of iPSC-derived cardiomyocytes to predict cardiotoxicity patterns in 1280 compounds and identify cardiotoxic chemical frameworks.

bioRxiv · Mar 23, 2021Cell Biology

Spatiotemporal mosaic patterning of pluripotent stem cells using CRISPR interference

A. R. G. Libby, D. A. Joy, P.-L. So, M. A. Mandegar, J. M. Muncie, V. M. Weaver, B. R. Conklin, T. C. McDevitt

This study uses CRISPR interference to create spatiotemporal patterns in hiPSC colonies, revealing how gene knockdowns affect multicellular organization and symmetry breaking during development.

bioRxiv · Jan 24, 2018Bioengineering