Author

A. E. Davies

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Cell Biology· 1

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

D. M. Zuckerman· 1 shared I. C. McLean· 1 shared J. Copperman· 1 shared J. Singh· 1 shared L. M. Heiser· 1 shared S. M. Gross· 1 shared V. Murthy· 1 shared Y. H. Chang· 1 shared

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2024-2024 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperCell Biology

D. M. Zuckerman

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1 paper

Recent·Most cited

Single-cell morphodynamical trajectories enable prediction of gene expression accompanying cell state change

J. Copperman, I. C. McLean, S. M. Gross, J. Singh, V. Murthy, Y. H. Chang, A. E. Davies, D. M. Zuckerman, L. M. Heiser

The paper develops MMIST, a computational approach linking live-cell morphodynamics to gene expression changes during cell state transitions.

bioRxiv · Jan 18, 2024Cell Biology