Publications
Key: † indicates co-first authors; * indicates corresponding authors.
- Dong, X., Leary, J. R., Yang, C., Brusko, M. A., Brusko, T. M., & Bacher, R.* (2024). Data-driven selection of analysis decisions in single-cell RNA-seq trajectory inference. Briefings in Bioinformatics, 25(3), bbae216. https://doi.org/10.1093/bib/bbae216
- Shapiro, M. R.†, Dong, X.†, Perry, D. J.†, McNichols, J. M., Thirawatananond, P., Posgai, A. L., Peters, L. D., Motwani, K., Musca, R. S., Muir, A., Concannon, P., Jacobsen, L. M., Mathews, C. E., Wasserfall, C. H., Haller, M. J., Schatz, D. A., Atkinson, M. A., Brusko, M. A., Bacher, R.*, & Brusko, T. M.* (2023). Human immune phenotyping reveals accelerated aging in type 1 diabetes. JCI Insight. https://doi.org/10.1172/jci.insight.170767
- Jacobsen, L. M.†, Diggins, K.†, Blanchfield, L.†, McNichols, J. A., Perry, D. J., Brant, J., Dong, X., Bacher, R., Gersuk, V. H., Schatz, D. A., Atkinson, M. A., Mathews, C. E., Haller, M. J., Long, S. A.*, Linsley, P. S.*, & Brusko, T. M.* (2023). Responders to low-dose ATG induce CD4 T cell exhaustion in type 1 diabetes. JCI Insight. https://doi.org/10.1172/jci.insight.161812
- Dong, X., & Bacher, R. (2023). Analysis of Single-Cell RNA-seq Data. In B. Fridley & X. Wang (Eds.), Statistical Genomics (Vol. 2629, pp. 95–114). Springer US. https://doi.org/10.1007/978-1-0716-2986-4_6
- Dong, X., & Bacher, R. (2022). Data-driven assessment of dimension reduction quality for single-cell omics data. Patterns, 3(3), 100465. https://doi.org/10.1016/j.patter.2022.100465
- Darden, D. B., Dong, X., Brusko, M. A., Kelly, L., Fenner, B., Rincon, J. C., Dirain, M. L., Ungaro, R., Nacionales, D. C., Gauthier, M., Kladde, M., Brusko, T. M., Bihorac, A., Moore, F. A., Loftus, T., Bacher, R., Moldawer, L. L., Mohr, A. M., & Efron, P. A.* (2021). A Novel Single Cell RNA-seq Analysis of Non-Myeloid Circulating Cells in Late Sepsis. Frontiers in Immunology, 12, 696536. https://doi.org/10.3389/fimmu.2021.696536
- Ross, J. J., Wasserfall, C. H., Bacher, R., Perry, D. J., McGrail, K., Posgai, A. L., Dong, X., Muir, A., Li, X., Campbell-Thompson, M., Brusko, T. M., Schatz, D. A., Haller, M. J., & Atkinson, M. A.* (2021). Exocrine Pancreatic Enzymes Are a Serological Biomarker for Type 1 Diabetes Staging and Pancreas Size. Diabetes, 70(4), 944–954. https://doi.org/10.2337/db20-0995