Badia-i-Mompel, Pau

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

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

Bioactivity descriptors for uncharacterized chemical compounds

Bertoni, M., Duran-Frigola, M., Badia-i-Mompel, P., Pauls, E., Orozco-Ruiz, M., Guitart-Pla, O., Alcalde, V., Diaz, V. M., Berenguer-Llergo, A., Brun-Heath, I., et al. (2021) · Nature Communications

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 92

Cell type mapping reveals tissue niches and interactions in subcortical multiple sclerosis lesions

Lerma-Martin, C., Badia-i-Mompel, P., Ramirez Flores, R. O., Sekol, P., Schäfer, P. S. L., Riedl, C. J., Hofmann, A., Thäwel, T., Wünnemann, F., Ibarra-Arellano, M. A., et al. (2024) · Nature Neuroscience

Multiple Sclerosis Research StudiesSingle-cell and spatial transcriptomics

Cited by 76

A community challenge for a pancancer drug mechanism of action inference from perturbational profile data

Douglass, E. F., Allaway, R. J., Szalai, B., Wang, W., Tian, T., Fernández-Torras, A., Realubit, R., Karan, C., Zheng, S., Pessia, A., et al. (2022) · Cell Reports Medicine

Computational Drug Discovery MethodsGene expression and cancer classification

Cited by 68