Missing cell types in single-cell references impact deconvolution of bulk data but are detectable
Abstract Background Advancements in RNA sequencing have expanded our ability to study gene expression profiles of biological samples in bulk tissue and single cells. Deconvolution of bulk data with single-cell references provides the ability to study relative cell-type proportions, but most methods...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-04-01
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| Series: | Genome Biology |
| Online Access: | https://doi.org/10.1186/s13059-025-03506-9 |
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