MAGIC: A diffusion-based imputation method reveals gene-gene interactions in single-cell RNA-sequencing data

David van Dijk(Memorial Sloan Kettering Cancer Center), Dana Pe’er(Memorial Sloan Kettering Cancer Center), Juozas Nainys(Memorial Sloan Kettering Cancer Center), Smita Krishnaswamy(Yale University), Roshan Sharma(Memorial Sloan Kettering Cancer Center), Ambrose Carr(Chan Zuckerberg Initiative (United States)), Linas Mažutis(Memorial Sloan Kettering Cancer Center), Guy Wolf(Université de Montréal), Pooja Kaithail(Memorial Sloan Kettering Cancer Center), Kevin R. Moon(Yale University)
bioRxiv (Cold Spring Harbor Laboratory)
February 25, 2017
10.1101/111591
Cited by 153

Related Papers

Recovering Gene Interactions from Single-Cell Data Using Data Diffusion
|Cell|2018|1.9k
Innate Immune Landscape in Early Lung Adenocarcinoma by Paired Single-Cell Analyses
|Cell|2017|1.2k
Visualizing structure and transitions in high-dimensional biological data
|Nature Biotechnology|2019|1.2k
Toward understanding and exploiting tumor heterogeneity
|Nature Medicine|2015|770
Distinguishing features of long COVID identified through immune profiling
|Nature|2023|676