Nir Yosef

23 papers A* 3B 2C 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
AutoEval Done Right: Using Synthetic Data for Model Evaluation.
ICML
Pierre Boyeau, Anastasios Nikolas Angelopoulos, Tianle Li, Nir Yosef, Jitendra Malik, Michael I. Jordan
2025 B conf
Tree Reconstruction Guarantees from CRISPR-Cas9 Lineage Tracing Data Using Neighbor-Joining.
RECOMB
Sebastian Prillo, Kevin An, Wilson Wu, Ivan Kristanto, Matthew G. Jones, Yun S. Song, Nir Yosef
2024 J jnl
AutoEval Done Right: Using Synthetic Data for Model Evaluation.
CoRR
Pierre Boyeau, Anastasios N. Angelopoulos, Nir Yosef, Jitendra Malik, Michael I. Jordan
2022 B conf
Identifying Systematic Variation at the Single-Cell Level by Leveraging Low-Resolution Population-Level Data.
RECOMB
Elior Rahmani, Michael I. Jordan, Nir Yosef
2020 A* conf
Decision-Making with Auto-Encoding Variational Bayes.
NeurIPS
Romain Lopez, Pierre Boyeau, Nir Yosef, Michael I. Jordan, Jeffrey Regier
2020 J jnl
Decision-Making with Auto-Encoding Variational Bayes.
CoRR
Romain Lopez, Pierre Boyeau, Nir Yosef, Michael I. Jordan, Jeffrey Regier
2020 J jnl
Interpretable factor models of single-cell RNA-seq via variational autoencoders.
Bioinform.
Valentine Svensson, Adam Gayoso, Nir Yosef, Lior Pachter
2019 J jnl
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements.
CoRR
Romain Lopez, Achille Nazaret, Maxime Langevin, Jules Samaran, Jeffrey Regier, Michael I. Jordan, Nir Yosef
2019 J jnl
Connectivity problems on heterogeneous graphs.
Algorithms Mol. Biol.
Jimmy Wu, Alex Khodaverdian, Benjamin Weitz, Nir Yosef
2018 J jnl
A Deep Generative Model for Semi-Supervised Classification with Noisy Labels.
CoRR
Maxime Langevin, Edouard Mehlman, Jeffrey Regier, Romain Lopez, Michael I. Jordan, Nir Yosef
2018 A* conf
Information Constraints on Auto-Encoding Variational Bayes.
NeurIPS
Romain Lopez, Jeffrey Regier, Michael I. Jordan, Nir Yosef
2018 J jnl
Information Constraints on Auto-Encoding Variational Bayes.
CoRR
Romain Lopez, Jeffrey Regier, Nir Yosef, Michael I. Jordan
2017 J jnl
A deep generative model for gene expression profiles from single-cell RNA sequencing.
CoRR
Romain Lopez, Jeffrey Regier, Michael I. Jordan, Nir Yosef
2017 J jnl
ImpulseDE: detection of differentially expressed genes in time series data using impulse models.
Bioinform.
Jil Sander, Joachim L. Schultze, Nir Yosef
2016 J jnl
FastProject: a tool for low-dimensional analysis of single-cell RNA-Seq data.
BMC Bioinform.
David DeTomaso, Nir Yosef
2016 J jnl
Offline Directed Steiner Network Problems on Dynamic Graphs.
CoRR
Benjamin Weitz, Jimmy Wu, Nir Yosef
2010 J jnl
Network-Free Inference of Knockout Effects in Yeast.
PLoS Comput. Biol.
Tal Peleg, Nir Yosef, Eytan Ruppin, Roded Sharan
2010 J jnl
Prediction of Phenotype Information from Genotype Data.
Commun. Inf. Syst.
Jens Gramm, Richard M. Karp, William S. Noble, Roded Sharan, Qianfei Wang, Nir Yosef
2009 — —
Network models of cellular response to perturbation
Nir Yosef
2008 — ch.
Cross-Species Analysis of Protein-protein Interaction Networks.
Protein-protein Interactions and Networks
Nir Yosef, Eytan Ruppin, Roded Sharan
2008 C conf
Improved network-based identification of protein orthologs.
ECCB
Nir Yosef, Roded Sharan, William Stafford Noble
2007 J jnl
A supervised approach for identifying discriminating genotype patterns and its application to breast cancer data.
Bioinform.
Nir Yosef, Zohar Yakhini, Anya Tsalenko, Vessela N. Kristensen, Anne-Lise Børresen-Dale, Eytan Ruppin, Roded Sharan
2006 — conf
Inferring Functional Pathways from Multi-Perturbation Data.
ISMB (Supplement of Bioinformatics)
Nir Yosef, Alon Kaufman, Eytan Ruppin