Press#

Articles#

Publications#

  • Joint probabilistic modeling of single-cell multi-omic data with totalVI. A. Gayoso*, Z. Steier*, R. Lopez, J. Regier, KL. Nazor, A. Streets†, N Yosef†. Nature Methods, 2021
  • Probabilistic Harmonization and Annotation of Single-cell Transcriptomics data with Deep Generative Models. C. Xu*, R. Lopez*, E. Mehlman*, J. Regier, M.I. Jordan, N. Yosef. Molecular Systems Biology, 2021
  • A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements. R. Lopez*, A. Nazaret*, M. Langevin*, J. Samaran, J. Regier, M.I. Jordan, N. Yosef. ICML Workshop on Computational Biology, 2019
  • Deep Generative Models for Detecting Differential Expression in Single Cells. P. Boyeau, R. Lopez, J. Regier, A. Gayoso, MI. Jordan, N. Yosef. Machine Learning in Computational Biology meeting, 2019
  • Detecting Zero-Inflated Genes in Single-Cell Transcriptomics Data. O. Clivio, R. Lopez, J. Regier, A. Gayoso, MI. Jordan, N Yosef. Machine Learning in Computational Biology meeting, 2019
  • Deep Generative Modeling for Single-cell Transcriptomics. R. Lopez, J. Regier, MB. Cole, M. Jordan, N. Yosef. Nature Methods, 2018

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