Author

S. M. Gross

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Cell Biology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Research Focus:trajectory inference· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:differential expression· 1

Frequent Co-Authors

L. M. Heiser· 3 shared M. A. Dane· 2 shared A. E. Davies· 1 shared A. S. Meyer· 1 shared C. Sanchez-Aguila· 1 shared D. M. Zuckerman· 1 shared E. Bucher· 1 shared F. Mohammadi· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersCell Biology

L. M. Heiser

Mutual co-authors in cluster

Author profile →

3 papers

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

Analysis and modeling of cancer drug responses using cell cycle phase-specific rate effects

S. M. Gross, F. Mohammadi, C. Sanchez-Aguila, P. J. Zhan, T. A. Liby, M. A. Dane, A. S. Meyer, L. M. Heiser

This study develops a computational model to analyze drug effects on cell cycle phases in breast cancer cells and identifies effective drug combinations.

bioRxiv · Jul 24, 2020Cancer Biology

High resolution AKT signaling in individual cells

S. M. Gross, M. A. Dane, E. Bucher, L. M. Heiser

This study develops a sensor to assess AKT signaling fidelity in individual cells and finds cells can distinguish multiple IGF-I doses and pathway inhibition.

bioRxiv · Oct 28, 2018Cell Biology