Author

R. Donovan-Maiye

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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Cell Biology· 3

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

C. Yan· 3 shared A. B. Rosenberg· 2 shared A. Nelson· 2 shared C. M. Roco· 2 shared G. Seelig· 2 shared J. A. Theriot· 2 shared J. Brown· 2 shared K. A. Gerbin· 2 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCell Biology

C. Yan

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3 papers

Recent·Most cited

A deep generative model of 3D single-cell organization

R. Donovan-Maiye, J. Brown, C. Chan, L. Ding, C. Yan, N. Gaudreault, J. Theriot, M. Maleckar, T. A. Knijnenburg, G. Johnson

The paper introduces a deep generative model to integrate 3D single-cell fluorescent image data of subcellular structures, enabling structure imputation and quantification of spatial variation.

bioRxiv · Jun 9, 2021Cell Biology

A comprehensive analysis of gene expression changes in a high replicate and open-source dataset of differentiating hiPSC-derived cardiomyocytes

T. Grancharova, K. A. Gerbin, A. B. Rosenberg, C. M. Roco, J. Arakaki, C. DeLizzo, S. Q. Dinh, R. Donovan-Maiye, M. Hirano, A. Nelson, J. Tang, J. A. Theriot, C. Yan, V. Menon, S. P. Palecek, , R. N. Gunawardane

The paper analyzes gene expression changes in hiPSC-derived cardiomyocytes using single-cell RNA-seq, identifying key genes that mark differentiation stages and sources of variation across protocols and cell lines.

bioRxiv · Apr 22, 2021Cell Biology

Cell states beyond transcriptomics: integrating structural organization and gene expression in hiPSC-derived cardiomyocytes

K. A. Gerbin, T. Grancharova, R. Donovan-Maiye, M. C. Hendershott, J. Brown, S. Q. Dinh, J. L. Gehring, M. Hirano, G. R. Johnson, A. Nath, A. Nelson, C. M. Roco, A. B. Rosenberg, M. F. Sluzewski, M. P. Viana, , R. N. Gunawardane

The paper integrates gene expression and sarcomere organization in hiPSC-derived cardiomyocytes to predict subcellular states and reveal correlations between transcript abundance and structural patterns.

bioRxiv · May 26, 2020Cell Biology