Lopez, Romain
University of California, Berkeley
9 papers on CoChatORCID 0000-0003-0495-738X
Most cited papers
- Verified
Scrublet: computational identification of cell doublets in single-cell transcriptomic data
Wolock, S. L., Lopez, R., & Klein, A. M. (2018) · Cell Systems
Single-cell and spatial transcriptomicsGene expression and cancer classification
Cited by 2,758
- Verified
Scrublet: computational identification of cell doublets in single-cell transcriptomic data
Wolock, S. L., Lopez, R., & Klein, A. M. (2019) · Cell Systems
Single-cell and spatial transcriptomicsGene expression and cancer classification
Cited by 2,758
- Verified
Deep generative modeling for single-cell transcriptomics
Lopez, R., Regier, J., Cole, M. B., Jordan, M. I., & Yosef, N. (2018) · Nature Methods
Single-cell and spatial transcriptomicsGene expression and cancer classification
Cited by 2,530
- Verified
A Python library for probabilistic analysis of single-cell omics data
Gayoso, A., Lopez, R., Xing, G., Boyeau, P., Valiollah Pour Amiri, V., Hong, J., Wu, K., Jayasuriya, M., Mehlman, E., Langevin, M., et al. (2022) · Nature Biotechnology
Single-cell and spatial transcriptomicsGene expression and cancer classification
Cited by 789
- Verified
Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models
Xu, C., Lopez, R., Mehlman, E., Regier, J., Jordan, M. I., & Yosef, N. (2021) · Molecular Systems Biology
Single-cell and spatial transcriptomicsGene Regulatory Network Analysis
Cited by 691
- Verified
Joint probabilistic modeling of single-cell multi-omic data with totalVI
Gayoso, A., Steier, Z., Lopez, R., Regier, J., Nazor, K. L., Streets, A., & Yosef, N. (2021) · Nature Methods
Single-cell and spatial transcriptomicsGene Regulatory Network Analysis
Cited by 592
- Verified
DestVI identifies continuums of cell types in spatial transcriptomics data
Lopez, R., Li, B., Keren-Shaul, H., Boyeau, P., Kedmi, M., Pilzer, D., Jelinski, A., Yofe, I., David, E., Wagner, A., et al. (2022) · Nature Biotechnology
Single-cell and spatial transcriptomicsGene expression and cancer classification
Cited by 276
- Verified
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements
Lopez, R., Nazaret, A., Langevin, M., Samaran, J., Regier, J., Jordan, M. I., & Yosef, N. (2019) · arXiv
Single-cell and spatial transcriptomicsGene expression and cancer classification
Cited by 105
- Verified
Enhancing scientific discoveries in molecular biology with deep generative models
Lopez, R., Gayoso, A., & Yosef, N. (2020) · Molecular Systems Biology
Single-cell and spatial transcriptomicsMachine Learning in Bioinformatics
Cited by 82
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