Computational principles and challenges in single-cell data integration
By R. Argelaguet, Anna S. E. Cuomo, Oliver Stegle, John C. Marioni. Nature Biotechnology, 2021
403 citations recorded by the source corpus.
Subfields: Biophysics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/dcfc20fad97736540e48e09877fe2b12880df70c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biophysics
In Molecular Biology
- Malte D. Luecken
- Fabian J Theis
- Luke Zappia
- R. Argelaguet
- Aviv Regev
- H. Schiller
- Giovanni Palla
- David S. Fischer
Citations in the corpus
- Best practices for single-cell analysis across modalities (2023, background): “Whereas BCRs directly recognize soluble or membrane-bound epitopes , TCRs interact with linear peptides bound to cell-surface major histocompatibility complex (MHC) molecules.”
- Gene regulatory network inference in the era of single-cell multi-omics (2023, background): “In these ‘simultaneous’ methods, unpaired data can still be modelled if both modalities are matched using integration approaches 61 .”
- Spatial components of molecular tissue biology (2022, positive): “These methods transfer cell-type labels from scRNA-seq to spot transcriptomics by manifold alignment techniques 142 .”
- Methods and applications for single-cell and spatial multi-omics (2023, result): “Recently, Argelaguet et al. 130 defined three categories of data integration strategies depending on the anchor used to link the different data modalities.”