References¶
- Boyeau19
Pierre Boyeau, Romain Lopez, Jeffrey Regier, Adam Gayoso, Michael I. Jordan, Nir Yosef (2019), Deep generative models for detecting differential expression in single cells, Machine Learning in Computational Biology (MLCB).
- Clivio19
Oscar Clivio, Romain Lopez, Jeffrey Regier, Adam Gayoso, Michael I. Jordan, Nir Yosef (2019), Detecting zero-inflated genes in single-cell transcriptomics data, Machine Learning in Computational Biology (MLCB).
- GayosoSteier20
Adam Gayoso*, Zoë Steier*, Romain Lopez, Jeffrey Regier, Kristopher L Nazor, Aaron Streets, Nir Yosef (2020), Joint probabilistic modeling of paired transcriptome and proteome measurements in single cells, bioRxiv.
- Lopez18
Romain Lopez, Jeffrey Regier, Michael Cole, Michael I. Jordan, Nir Yosef (2018), Deep generative modeling for single-cell transcriptomics, Nature Methods.
- Lopez19
Romain Lopez∗, Achille Nazaret∗, Maxime Langevin*, Jules Samaran*, Jeffrey Regier*, Michael I. Jordan, Nir Yosef (2019), A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements, ICML Workshop on Computational Biology.
- Svensson20
Valentine Svensson, Adam Gayoso, Nir Yosef, Lior Pachter (2020), Interpretable factor models of single-cell RNA-seq via variational autoencoders, Bioinformatics.
- Xu19
Chenling Xu∗, Romain Lopez∗, Edouard Mehlman∗, Jeffrey Regier, Michael I. Jordan, Nir Yosef (2019), Harmonization and Annotation of Single-cell Transcriptomics data with Deep Generative Models, bioRxiv.