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BREM-SC: a bayesian random effects mixture model for joint clustering single cell multi-omics data

Research article (Nucleic Acids Research, 2020) · cited 100× · AI/ML
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BREM-SC: a bayesian random effects mixture model for joint clustering single cell multi-omics data

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BREM-SC: a bayesian random effects mixture model for joint clustering single cell multi-omics data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). BREM-SC: a bayesian random effects mixture model for joint clustering single cell multi-omics data. Retrieved May 24, 2026, from https://4ort.xyz/entity/brem-sc-a-bayesian-random-effects-mixture-model-for-joint-clustering-single-cell-multi-omics-data
MLA “BREM-SC: a bayesian random effects mixture model for joint clustering single cell multi-omics data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/brem-sc-a-bayesian-random-effects-mixture-model-for-joint-clustering-single-cell-multi-omics-data.
BibTeX @misc{4ortxyz_brem-sc-a-bayesian-random-effects-mixture-model-for-joint-clustering-single-cell-multi-omics-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{BREM-SC: a bayesian random effects mixture model for joint clustering single cell multi-omics data}}, year = {2026}, url = {https://4ort.xyz/entity/brem-sc-a-bayesian-random-effects-mixture-model-for-joint-clustering-single-cell-multi-omics-data}, note = {Accessed: 2026-05-24}}
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