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Justin Hong
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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 40 (2), 163-166, 2022
2482022
Robust federated learning in a heterogeneous environment
A Ghosh, J Hong, D Yin, K Ramchandran
arXiv preprint arXiv:1906.06629, 2019
2112019
The scverse project provides a computational ecosystem for single-cell omics data analysis
I Virshup, D Bredikhin, L Heumos, G Palla, G Sturm, A Gayoso, I Kats, ...
Nature biotechnology 41 (5), 604-606, 2023
502023
Likelihood-based deconvolution of bulk gene expression data using single-cell references
DD Erdmann-Pham, J Fischer, J Hong, YS Song
Genome research 31 (10), 1794-1806, 2021
262021
Deep generative modeling of transcriptional dynamics for RNA velocity analysis in single cells
A Gayoso, P Weiler, M Lotfollahi, D Klein, J Hong, A Streets, FJ Theis, ...
Nature methods 21 (1), 50-59, 2024
192024
Deep generative modeling for quantifying sample-level heterogeneity in single-cell omics
P Boyeau, J Hong, A Gayoso, MI Jordan, E Azizi, N Yosef
BioRxiv, 2022.10. 04.510898, 2022
82022
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data
M Chevalley, J Sackett-Sanders, Y Roohani, P Notin, A Bakulin, ...
arXiv preprint arXiv:2308.15395, 2023
32023
Stable Differentiable Causal Discovery
A Nazaret, J Hong, E Azizi, D Blei
arXiv preprint arXiv:2311.10263, 2023
2023
BetterBoost-Inference of Gene Regulatory Networks with Perturbation Data
A Nazaret, J Hong
2023
CRISPRmap: Sequencing-free optical pooled screens mapping multi-omic phenotypes in cells and tissue
J Gu, A Iyer, B Wesley, A Taglialatela, G Leuzzi, S Hangai, A Decker, ...
bioRxiv, 2023.12. 26.572587, 2023
2023
Deep generative modeling of transcriptional dynamics for RNA velocity analysis in single cells
D Klein, J Hong, A Streets, FJ Theis, N Yosef
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Articles 1–11