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