Author

David Dilworth

University of Michigan

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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Bioinformatics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:yeast· 1

Frequent Co-Authors

Alex S. Ade· 2 shared Alexandr A. KalininiD· 2 shared Amy L. CreekmoreiD· 2 shared Ari Allyn-Feuer· 2 shared Brian D. AtheyiD· 2 shared Donald S. Coffey· 2 shared Gen ZhengiD· 2 shared Gerald A. HigginsiD· 2 shared

Activity by Year

2018-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Alex S. Ade

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Author profile →

3 papers

Recent·Most cited

Genetic dissection of the redundant and divergent functions of histone chaperone paralogs in yeast

Neda S. Savić, Shawn P. Shortill, Misha Bilenky, David Dilworth, Martin Hirst, Christopher J. Nelson

This study investigates the redundant and divergent functions of histone chaperone paralogs Fpr3 and Fpr4 in yeast using a refined synthetic genetic array approach.

bioRxiv · Mar 24, 2019 · PreprintGenetics

3D Shape Modeling for Cell Nuclear Morphological Analysis and Classification

Alexandr A. Kalinin, Ari Allyn-Feuer, Alex S. Ade, Gordon-Victor Fon, Walter Meixner, David Dilworth, Syed S. Husain, Jeffrey R. de Wet, Gerald A. Higgins, Gen Zheng, Amy L. Creekmore, John W. Wiley, James E. Verdone, Robert W. Veltri, Kenneth J. Pienta, , Ivo D. Dinov

The paper develops a 3D morphometric analysis pipeline for cell nuclei and nucleoli, achieving high classification accuracy in prostate cancer and fibroblast cells.

Scientific Reports · Sep 6, 2018Peer-reviewedBioinformatics

3D Cell Nuclear Morphology: Microscopy Imaging Dataset and Voxel-Based Morphometry Classification Results

Alexandr A. Kalinin, Ari Allyn-Feuer, Alex S. Ade, Gordon-Victor Fon, Walter Meixner, David Dilworth, Jeffrey R. de Wet, Gerald A. Higgins, Gen Zheng, Amy L. Creekmore, John W. Wiley, James E. Verdone, Robert W. Veltri, Kenneth J. Pienta, Donald S. Coffey, , Ivo D. Dinov

The paper introduces a 3D cell nuclear morphology dataset and evaluates classification algorithms using voxel-based morphometric measures.

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · Jun 1, 2018Peer-reviewedBioinformatics