Nir Yosef

According to our database, Nir Yosef authored at least 19 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

AutoEval Done Right: Using Synthetic Data for Model Evaluation.

Pierre Boyeau, Anastasios N. Angelopoulos, Nir Yosef, Jitendra Malik, Michael I. Jordan

CoRR, 2024

2022

Identifying Systematic Variation at the Single-Cell Level by Leveraging Low-Resolution Population-Level Data.

Elior Rahmani, Michael I. Jordan, Nir Yosef

Proceedings of the Research in Computational Molecular Biology, 2022

2020

Interpretable factor models of single-cell RNA-seq via variational autoencoders.

Valentine Svensson, Adam Gayoso, Nir Yosef, Lior Pachter

Bioinform., 2020

Decision-Making with Auto-Encoding Variational Bayes.

Romain Lopez, Pierre Boyeau, Nir Yosef, Michael I. Jordan, Jeffrey Regier

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements.

Romain Lopez, Achille Nazaret, Maxime Langevin, Jules Samaran, Jeffrey Regier, Michael I. Jordan, Nir Yosef

CoRR, 2019

Connectivity problems on heterogeneous graphs.

Jimmy Wu, Alex Khodaverdian, Benjamin Weitz, Nir Yosef

Algorithms Mol. Biol., 2019

2018

A Deep Generative Model for Semi-Supervised Classification with Noisy Labels.

Maxime Langevin, Edouard Mehlman, Jeffrey Regier, Romain Lopez, Michael I. Jordan, Nir Yosef

CoRR, 2018

Information Constraints on Auto-Encoding Variational Bayes.

Romain Lopez, Jeffrey Regier, Michael I. Jordan, Nir Yosef

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

A deep generative model for gene expression profiles from single-cell RNA sequencing.

Romain Lopez, Jeffrey Regier, Michael I. Jordan, Nir Yosef

CoRR, 2017

ImpulseDE: detection of differentially expressed genes in time series data using impulse models.

Jil Sander, Joachim L. Schultze, Nir Yosef

Bioinform., 2017

2016

Offline Directed Steiner Network Problems on Dynamic Graphs.

Benjamin Weitz, Jimmy Wu, Nir Yosef

CoRR, 2016

FastProject: a tool for low-dimensional analysis of single-cell RNA-Seq data.

David DeTomaso, Nir Yosef

BMC Bioinform., 2016

2010

Network-Free Inference of Knockout Effects in Yeast.

Tal Peleg, Nir Yosef, Eytan Ruppin, Roded Sharan

PLoS Comput. Biol., 2010

Prediction of Phenotype Information from Genotype Data.

Jens Gramm, Richard M. Karp, William S. Noble, Roded Sharan, Qianfei Wang, Nir Yosef

Commun. Inf. Syst., 2010

2009

Network models of cellular response to perturbation

Nir Yosef

PhD thesis, 2009

2008

Improved network-based identification of protein orthologs.

Nir Yosef, Roded Sharan, William Stafford Noble

Proceedings of the ECCB'08 Proceedings, 2008

Cross-Species Analysis of Protein-protein Interaction Networks.

Nir Yosef, Eytan Ruppin, Roded Sharan

Proceedings of the Protein-protein Interactions and Networks: Identification, 2008

2007

A supervised approach for identifying discriminating genotype patterns and its application to breast cancer data.

Nir Yosef, Zohar Yakhini, Anya Tsalenko, Vessela N. Kristensen, Anne-Lise Børresen-Dale, Eytan Ruppin, Roded Sharan

Bioinform., 2007

2006

Inferring Functional Pathways from Multi-Perturbation Data.

Nir Yosef, Alon Kaufman, Eytan Ruppin

Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006