Следене
Romain Lopez
Romain Lopez
Postdoctoral Scholar, Genentech and Stanford
Потвърден имейл адрес: stanford.edu - Начална страница
Заглавие
Позовавания
Позовавания
Година
Deep generative modeling for single-cell transcriptomics
R Lopez, J Regier, MB Cole, MI Jordan, N Yosef
Nature Methods 15 (12), 1053-1058, 2018
6742018
Scrublet: computational identification of cell doublets in single-cell transcriptomic data
SL Wolock, R Lopez, AM Klein
Cell Systems, 357368, 2019
5722019
Probabilistic harmonization and annotation of single-cell transcriptomics data with deep generative models
C Xu*, R Lopez*, E Mehlman*, J Regier, MI Jordan, N Yosef
Molecular Systems Biology, 2021
93*2021
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
86*2021
Information Constraints on Auto-Encoding Variational Bayes
R Lopez, J Regier, N Yosef, MI Jordan
Advances in Neural Information Processing Systems, 2018
822018
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*, MI Jordan, ...
ICML workshop in Computational Biology, 2019
43*2019
A Python library for probabilistic analysis of single-cell omics data
A Gayoso*, R Lopez*, G Xing*, P Boyeau, V Valiollah Pour Amiri, J Hong, ...
Nature Biotechnology, 1-4, 2022
41*2022
Enhancing scientific discoveries in molecular biology with deep generative models
R Lopez, A Gayoso, N Yosef
Molecular Systems Biology 16 (9), e9198, 2020
232020
Decision-Making with Auto-Encoding Variational Bayes
R Lopez, P Boyeau, N Yosef, MI Jordan, J Regier
Advances in Neural Information Processing Systems, 2020
172020
A deep generative model for gene expression profiles from single-cell RNA sequencing
R Lopez, J Regier, M Cole, M Jordan, N Yosef
NeurIPS workshop in Computational Biology and Bay Area Machine Learning …, 2017
17*2017
DestVI identifies continuums of cell types in spatial transcriptomics data
R Lopez*, B Li*, H Keren-Shaul*, P Boyeau, M Kedmi, D Pilzer, A Jelinski, ...
Nature Biotechnology, 1-10, 2022
15*2022
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 (MLCB) meeting, 2019
15*2019
Cost-Effective Incentive Allocation via Structured Counterfactual Inference
R Lopez, C Li, X Yan, J Xiong, MI Jordan, Y Qi, L Song
AAAI Conference on Artificial Intelligence, 2020
102020
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 (MLCB) meeting, 2019
10*2019
A Joint Model of RNA Expression and Surface Protein Abundance in Single Cells
A Gayoso, R Lopez, Z Steier, J Regier, A Streets, N Yosef
Machine Learning in Computational Biology (MLCB) meeting, 2019
92019
Learning from eXtreme Bandit Feedback
R Lopez, I Dhillon, MI Jordan
AAAI Conference in Artificial Intelligence, 2021
62021
A Deep Generative Model for Semi-Supervised Classification with Noisy Labels
M Langevin, E Mehlman, J Regier, R Lopez, MI Jordan, N Yosef
Bay Area Machine Learning Symposium, arXiv preprint arXiv:1809.05957, 2018
42018
Reconstructing unobserved cellular states from paired single-cell lineage tracing and transcriptomics data
K Ouardini, R Lopez, MG Jones, S Prillo, R Zhang, MI Jordan, N Yosef
ICML workshop in Computational Biology, 2021
32021
A deep generative model for gene expression profiles from single-cell RNA sequencing
N Yosef, M Jordan, R Lopez
Master’s thesis, EECS Department, University of California, Berkeley, 2018
12018
Large-Scale Differentiable Causal Discovery of Factor Graphs
R Lopez, JC Hütter, JK Pritchard, A Regev
arXiv preprint arXiv:2206.07824, 2022
2022
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