Tanevski, Jovan

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

Spatial multi-omic map of human myocardial infarction

Kuppe, C., Ramirez Flores, R. O., Li, Z., Hayat, S., Levinson, R. T., Liao, X., Hannani, M. T., Tanevski, J., Wünnemann, F., Nagai, J. S., et al. (2022) · Nature

Single-cell and spatial transcriptomicsCongenital heart defects research

Cited by 772

Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data

Holland, C. H., Tanevski, J., Perales-Patón, J., Gleixner, J., Kumar, M. P., Mereu, E., Joughin, B. A., Stegle, O., Lauffenburger, D. A., Heyn, H., et al. (2020) · Genome Biology

Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks

Cited by 323

LIANA+ Provides an All-in-One Framework for Cell–Cell Communication Inference

Dimitrov, D., Schäfer, P. S. L., Farr, E., Rodriguez-Mier, P., Lobentanzer, S., Badia-i-Mompel, P., Dugourd, A., Tanevski, J., Ramirez Flores, R. O., & Saez-Rodriguez, J. (2024) · Nature Cell Biology

Single-cell and spatial transcriptomicsGene Regulatory Network Analysis

Cited by 263