Author
University of WashingtonORCID 0000-0002-8940-7426Unclaimed ORCID profile · follow to get notified of new preprints
4 papers
Recent·Most cited
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
Kyle J. Travaglini, Mariano I. Gabitto, Yi Ding, Anamika Agrawal, Nadia O. Postupna, Joseph T. Mahoney, Eitan S Kaplan, Erica J. Melief, Jeff Goldy, Anish Bhaswanth Chakka, Ming Xiao, Tejas S Bajwa, Andreas Tjärnberg, Jeanelle Ariza, Song‐Lin Ding, , Ed S. Lein
This study uses single-nucleus RNA-seq, ATAC-seq, and Multiome to analyze Alzheimer's disease across multiple brain regions, revealing shared and region-specific cellular vulnerabilities.
bioRxiv · Jul 2, 2026 · PreprintNeuroscience
Mariano I. Gabitto, Kyle J. Travaglini, Victoria M. Rachleff, Eitan S Kaplan, Brian Long, Jeanelle Ariza, Yi Ding, Joseph T. Mahoney, Nick Dee, Jeff Goldy, Erica J. Melief, Anamika Agrawal, Omar Z. Kana, Xingjian Zhen, Samuel T. Barlow, , Kimberly A. Smith
This study creates an integrated multimodal cell atlas of Alzheimer's disease by analyzing single nuclei transcriptomes, epigenomes, and spatial coordinates across AD stages.
Nature Neuroscience · Oct 14, 2024Peer-reviewedGenomics
Michael Hawrylycz, Maryann Elizabeth Martone, Patrick R. Hof, Ed S. Lein, Aviv Regev, Giorgio A. Ascoli, Jan Gunnar Bjaalie, Hong‐Wei Dong, Satrajit Ghosh, Jesse A Gillis, Ronna P. Hertzano, David R. Haynor, Yongsoo Kim, Yufeng Liu, Jeremy A. Miller, , Brian Zingg
The paper provides a guide to the BRAIN Initiative Cell Census Network (BICCN) data ecosystem, its tools, and resources for analyzing brain cell types across species.
bioRxiv · Oct 26, 2022 · PreprintBioinformatics