Author

Elizabeth Coker

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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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Chandler Gatenbee· 1 shared Elsa R. Flores· 1 shared Eunjung Kim· 1 shared Heyrim ChoiD· 1 shared Jeffrey WestiD· 1 shared Joseph McKenna· 1 shared Ryan Schenck· 1 shared Steven Lee-Kramer Kenneth Y. Tsai· 1 shared

Activity by Year

2017-2017 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Chandler Gatenbee

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1 paper

Recent·Most cited

Targeting the Untargetable: Predicting Pramlintide Resistance Using a Neural Network Based Cellular Automata

Eunjung Kim, Ryan Schenck, Jeffrey West, William Cross, Valerie Harris, Joseph McKenna, Heyrim Cho, Elizabeth Coker, Steven Lee-Kramer Kenneth Y. Tsai, Elsa R. Flores, Chandler Gatenbee

This paper develops a hybrid neural network/agent-based model to predict Pramlintide resistance in cutaneous squamous cell carcinoma and enable personalized treatment decisions.

bioRxiv · Nov 11, 2017 · PreprintCancer Biology