BREM-SC: a bayesian random effects mixture model for joint clustering single cell multi-omics data is a research paper published in Nucleic Acids Research (2020). On theSindex it has a DataRank of 0. It has been cited 103 times.
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National Institutes of Health
Grant: R01HL137709
National Institutes of Health
Grant: P01AI106684
National Institutes of Health
Grant: U01DK062420
National Institutes of Health
Grant: UL1TR001857
National Institutes of Health
Grant: 3UL1TR001857-07S1
University of Pittsburgh Clinical and Translational Science Institute
National Institutes of Health
Grant: 5R01HL137709-02
Epigenetic regulation of chemokines in lung inflammation
National Institutes of Health
Grant: 5P01AI106684-04
Immune Airway-Epithelial Interactions in Steroid-Refractory Severe Asthma
National Institutes of Health
Grant: 5U01DK062420-12
NIDDK IBD Genetics Consortium Genetic Research Center
FWCI
3.88
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of A generalization of t-SNE and UMAP to single-cell multimodal omics
Additional file 1 of A generalization of t-SNE and UMAP to single-cell multimodal omics
Additional file 2 of A generalization of t-SNE and UMAP to single-cell multimodal omics
Additional file 2 of A generalization of t-SNE and UMAP to single-cell multimodal omics
Additional file 1 of Orthogonal multimodality integration and clustering in single-cell data
Additional file 1 of Orthogonal multimodality integration and clustering in single-cell data