Research graph
References from Harmony-based data integration for distributed single-cell multi-omics data. Local targets link to admitted publications; unresolved targets remain external evidence.
Methods and applications for single-cell and spatial multi-omics
10.1038/s41576-023-00580-2 · 2023 · External reference
The Human Cell Atlas
10.7554/elife.27041 · 2017 · External reference
Why Batch Effects Matter in Omics Data, and How to Avoid Them
10.1016/j.tibtech.2017.02.012 · 2017 · External reference
Integrating single-cell transcriptomic data across different conditions, technologies, and species
10.1038/nbt.4096 · 2018 · External reference
Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors
10.1038/nbt.4091 · 2018 · External reference
Efficient integration of heterogeneous single-cell transcriptomes using Scanorama
10.1038/s41587-019-0113-3 · 2019 · External reference
BBKNN: fast batch alignment of single cell transcriptomes
10.1093/bioinformatics/btz625 · 2020 · External reference
Fast, sensitive and accurate integration of single-cell data with Harmony
10.1038/s41592-019-0619-0 · 2019 · External reference
ComBat-seq: batch effect adjustment for RNA-seq count data
2020 · External reference
A privacy concern: Bioinformatics and storing biodata.
2021 · External reference
Unresolved reference
External reference
10.1007/978-3-319-57959-7
10.1007/978-3-319-57959-7 · 2017 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Privacy considerations for sharing genomics data
2021 · External reference
Routes for breaching and protecting genetic privacy
10.1038/nrg3723 · 2014 · External reference
Communication-efficient learning of deep networks from decentralized data.
2017 · External reference
The future of digital health with federated learning
10.1038/s41746-020-00323-1 · 2020 · External reference
A review of applications in federated learning
10.1016/j.cie.2020.106854 · 2020 · External reference
FedIMPUTE: Privacy-preserving missing value imputation for multi-site heterogeneous electronic health records
10.1016/j.jbi.2025.104780 · 2025 · External reference
A survey on federated learning
10.1016/j.knosys.2021.106775 · 2021 · External reference
A benchmark of batch-effect correction methods for single-cell RNA sequencing data
10.1186/s13059-019-1850-9 · 2020 · External reference
Benchmarking atlas-level data integration in single-cell genomics
10.1038/s41592-021-01336-8 · 2022 · External reference
Improved distributed principal component analysis
2014 · External reference
Massively parallel digital transcriptional profiling of single cells
10.1038/ncomms14049 · 2017 · External reference
Umap: Uniform manifold approximation and projection for dimension reduction.
2018 · External reference
A blood atlas of COVID-19 defines hallmarks of disease severity and specificity
10.1016/j.cell.2022.01.012 · 2022 · External reference
Investigating privacy leakage in dimensionality reduction methods via reconstruction attack
2025 · External reference
Data reconstruction attack against principal component analysis.
10.1007/978-981-99-5177-2_5 · 2023 · External reference
Heterogeneity for the win: One-shot federated clustering.
2021 · External reference
