SHARE-Topic: Bayesian interpretable modeling of single-cell multi-omic data
Abstract Multi-omic single-cell technologies, which simultaneously measure the transcriptional and epigenomic state of the same cell, enable understanding epigenetic mechanisms of gene regulation. However, noisy and sparse data pose fundamental statistical challenges to extract biological knowledge...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-02-01
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| Series: | Genome Biology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13059-024-03180-3 |