Author

Lucas Magee

The Ohio State UniversityORCID 0000-0002-9844-7497Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:dimensionality reduction· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Partha P. MitraiD· 3 shared Yusu WangiD· 3 shared Bing‐Xing HuoiD· 2 shared Dingkang WangiD· 2 shared Jaikishan JayakumariD· 2 shared Keerthi RamiD· 2 shared Samik BanerjeeiD· 2 shared David R. HaynoriD· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 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 papersNeuroscience

Partha P. MitraORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Discrete Morse Graph Construction for High-Dimensional Transcriptomic Data

Lucas Magee, Rohan Gala, Kyle J. Travaglini, Uygar Sümbül, David R. Haynor, Samantha Chen, Tristan Brugère, Yusu Wang, Partha P. Mitra, Michael Hawrylycz

This paper introduces scDMGC, a method to analyze high-dimensional transcriptomic data using topological data analysis, revealing cell-type organization and transcriptional gradients in brain datasets.

bioRxiv · Sep 28, 2026 · PreprintNeuroscience

Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networks

Samik Banerjee, Lucas Magee, Dingkang Wang, Xu Li, Bing‐Xing Huo, Jaikishan Jayakumar, Katherine S. Matho, Mengkuan Lin, Keerthi Ram, Mohanasankar Sivaprakasam, Z. Josh Huang, Yusu Wang, Partha P. Mitra

The paper introduces a hybrid deep learning architecture combining topological priors with encoder-decoder networks to improve semantic segmentation of neuroanatomical data with high precision and recall.

Nature Machine Intelligence · Sep 28, 2020Peer-reviewedNeuroscience

Detection and skeletonization of single neurons and tracer injections using topological methods

Dingkang Wang, Lucas Magee, Bing‐Xing Huo, Samik Banerjee, Xu Li, Jaikishan Jayakumar, Meng Kuan Lin, Keerthi Ram, Suyi Wang, Yusu Wang, Partha P. Mitra

This paper introduces topological methods to detect and skeletonize neurons and tracer injections, showing improved performance over existing techniques.

bioRxiv · Mar 21, 2020 · PreprintNeuroscience