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2020 – today
- 2024
[i7]Pierre Boyeau, Anastasios N. Angelopoulos, Nir Yosef, Jitendra Malik, Michael I. Jordan:
AutoEval Done Right: Using Synthetic Data for Model Evaluation. CoRR abs/2403.07008 (2024)- 2022
- [c5]Elior Rahmani, Michael I. Jordan, Nir Yosef:
Identifying Systematic Variation at the Single-Cell Level by Leveraging Low-Resolution Population-Level Data. RECOMB 2022: 371 - 2020
- [j7]Valentine Svensson
, Adam Gayoso, Nir Yosef, Lior Pachter:
Interpretable factor models of single-cell RNA-seq via variational autoencoders. Bioinform. 36(11): 3418-3421 (2020) - [c4]Romain Lopez, Pierre Boyeau, Nir Yosef, Michael I. Jordan, Jeffrey Regier:
Decision-Making with Auto-Encoding Variational Bayes. NeurIPS 2020 - [i6]Romain Lopez, Pierre Boyeau, Nir Yosef, Michael I. Jordan, Jeffrey Regier:
Decision-Making with Auto-Encoding Variational Bayes. CoRR abs/2002.07217 (2020)
2010 – 2019
- 2019
- [j6]Jimmy Wu, Alex Khodaverdian, Benjamin Weitz, Nir Yosef:
Connectivity problems on heterogeneous graphs. Algorithms Mol. Biol. 14(1): 5:1-5:17 (2019) - [i5]Romain Lopez, Achille Nazaret, Maxime Langevin, Jules Samaran, Jeffrey Regier, Michael I. Jordan, Nir Yosef:
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements. CoRR abs/1905.02269 (2019) - 2018
- [c3]Romain Lopez, Jeffrey Regier, Michael I. Jordan, Nir Yosef:
Information Constraints on Auto-Encoding Variational Bayes. NeurIPS 2018: 6117-6128 - [i4]Romain Lopez, Jeffrey Regier, Nir Yosef, Michael I. Jordan:
Information Constraints on Auto-Encoding Variational Bayes. CoRR abs/1805.08672 (2018) - [i3]Maxime Langevin, Edouard Mehlman, Jeffrey Regier, Romain Lopez, Michael I. Jordan, Nir Yosef:
A Deep Generative Model for Semi-Supervised Classification with Noisy Labels. CoRR abs/1809.05957 (2018) - 2017
- [j5]Jil Sander, Joachim L. Schultze, Nir Yosef:
ImpulseDE: detection of differentially expressed genes in time series data using impulse models. Bioinform. 33(5): 757-759 (2017) - [i2]Romain Lopez, Jeffrey Regier, Michael I. Jordan, Nir Yosef:
A deep generative model for gene expression profiles from single-cell RNA sequencing. CoRR abs/1709.02082 (2017) - 2016
- [j4]David DeTomaso, Nir Yosef:
FastProject: a tool for low-dimensional analysis of single-cell RNA-Seq data. BMC Bioinform. 17: 315 (2016) - [i1]Benjamin Weitz, Jimmy Wu, Nir Yosef:
Offline Directed Steiner Network Problems on Dynamic Graphs. CoRR abs/1609.04918 (2016) - 2010
- [j3]Jens Gramm, Richard M. Karp, William S. Noble, Roded Sharan, Qianfei Wang, Nir Yosef:
Prediction of Phenotype Information from Genotype Data. Commun. Inf. Syst. 10(2): 99-114 (2010) - [j2]Tal Peleg, Nir Yosef, Eytan Ruppin, Roded Sharan:
Network-Free Inference of Knockout Effects in Yeast. PLoS Comput. Biol. 6(1) (2010)
2000 – 2009
- 2009
- [b1]Nir Yosef:
Network models of cellular response to perturbation. Tel Aviv University, Israel, 2009 - 2008
- [c2]Nir Yosef, Roded Sharan, William Stafford Noble:
Improved network-based identification of protein orthologs. ECCB 2008: 200-206 - [p1]Nir Yosef, Eytan Ruppin, Roded Sharan:
Cross-Species Analysis of Protein-protein Interaction Networks. Protein-protein Interactions and Networks 2008: 163-185 - 2007
- [j1]Nir Yosef, Zohar Yakhini, Anya Tsalenko, Vessela N. Kristensen, Anne-Lise Børresen-Dale, Eytan Ruppin, Roded Sharan:
A supervised approach for identifying discriminating genotype patterns and its application to breast cancer data. Bioinform. 23(2): 91-98 (2007) - 2006
- [c1]Nir Yosef, Alon Kaufman, Eytan Ruppin:
Inferring Functional Pathways from Multi-Perturbation Data. ISMB (Supplement of Bioinformatics) 2006: 539-546
Coauthor Index
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