Author

D. Riley

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

Bioengineering· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Agrawal· 1 shared A. E. Libby· 1 shared A. Giri· 1 shared A. Handy· 1 shared A. Hendricks-Wenger· 1 shared A. Johnston· 1 shared A. Jones· 1 shared A. Melnick· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 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

1 shared paperBioengineering

A. Agrawal

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Lipid metabolic reprogramming drives triglyceride storage and variable sensitivity to FASN inhibition in endocrine-resistant breast cancer cells

A. V. Ward, D. Riley, K. E. Cosper, J. Finlay-Schultz, H. M. Brechbuhl, A. E. Libby, K. B. Hill, R. R. Varshney, P. Kabos, M. R. Rudolph, C. A. Sartorius

This study identifies lipid metabolic reprogramming in endocrine-resistant breast cancer cells, showing TVB-2640 reduces lipid storage but not cell growth.

bioRxiv · May 30, 2024Cancer Biology

Profiling Dynamic Patterns of Single-cell Motility

D. Maity, N. Sivakumar, P. Kamat, N. Zamponi, C. Min, W. Du, H. Jayatilaka, A. Giri, A. Johnston, B. Starich, M. Karl, A. Agrawal, D. Riley, L. Venturitti, A. Melnick, , J. M. Phillip

This study introduces CaMI, a framework to classify single-cell motility patterns, revealing heterogeneity and dynamics not captured by traditional ensemble methods.

bioRxiv · Sep 21, 2022Bioengineering

Development of an In Vitro Test for the Optimization of Drug Diffusion in Pediatric Solid Tumors

R. Ivy, A. Hendricks-Wenger, L. Kennedy, A. Jones, D. Riley, A. Handy, E. D. Barker

This study develops an in vitro method to quantify drug diffusion through tumor tissue to optimize chemotherapy dosing for pediatric solid tumors and improve treatment outcomes.

bioRxiv · May 23, 2022 · PreprintBioengineering