Schubert, Benjamin

Best practices for single-cell analysis across modalities

Heumos, L., Schaar, A. C., Lance, C., Litinetskaya, A., Drost, F., Zappia, L., Lücken, M. D., Strobl, D. C., Henao, J., Curion, F., et al. (2023) · Nature Reviews Genetics

Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks

Cited by 1,051

scCODA is a Bayesian model for compositional single-cell data analysis

Büttner, M., Ostner, J., Müller, C. L., Theis, F. J., & Schubert, B. (2021) · Nature Communications

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 388

Predicting T Cell Receptor Functionality against Mutant Epitopes

Dorigatti, E., Drost, F., Straub, A., Hilgendorf, P., Wagner, K. I., Bischl, B., Busch, D. H., Schober, K., & Schubert, B. (2023) · Cell Genomics

vaccines and immunoinformatics approachesImmunotherapy and Immune Responses

Cited by 30