Author

J. Stern

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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Biophysics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Organism:human· 1 Assay:imaging· 1 Assay:protein structure· 1

Frequent Co-Authors

A. Deshpande· 1 shared A. L. Kiemen· 1 shared A. T. F. Bell· 1 shared B. Gambichler· 1 shared B. Hedelius· 1 shared D. Della Corte· 1 shared D. N. Sidiropoulos· 1 shared D. Wirtz· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperCancer Biology

A. Deshpande

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Author profile →

2 papers

Recent·Most cited

PanIN and CAF Transitions in Pancreatic Carcinogenesis Revealed with Spatial Data Integration

A. T. F. Bell, J. T. Mitchell, A. L. Kiemen, K. Fujikura, H. Fedor, B. Gambichler, A. Deshpande, P.-H. Wu, D. N. Sidiropoulos, R. Erbe, J. Stern, R. Chan, S. Williams, J. M. Chell, J. W. Zimmerman, , L. T. Kagohara

This paper develops a new protocol for spatial transcriptomics analysis of FFPE PanIN specimens and integrates it with imaging and scRNA-seq to study the progression from PanIN to PDAC.

bioRxiv · Jul 16, 2022Cancer Biology

Evaluation of Deep Neural Network ProSPr for Accurate Protein Distance Predictions on CASP14 Targets

J. Stern, B. Hedelius, O. Fisher, W. Billings, D. Della Corte

This paper evaluates the ProSPr deep learning model for protein distance predictions on CASP14 targets, assessing its accuracy and performance with varying sequence alignment depth.

bioRxiv · Oct 14, 2021Biophysics