![[img]](https://epub.uni-regensburg.de/style/images/fileicons/application_pdf.png) | License: Creative Commons Attribution 4.0 PDF - Accepted Version (4MB) |
| License: Creative Commons Attribution 4.0 PDF - Published Version (4MB) |
- URN to cite this document:
- urn:nbn:de:bvb:355-epub-597210
- DOI to cite this document:
- 10.5283/epub.59721
Abstract
Motivation: Bulk RNA expression data is widely accessible, whereas single-cell data is relatively scarce in comparison. However, single-cell data offers profound insights into the cellular composition of tissues and cell type-specific gene regulation, both of which remain hidden in bulk expression analysis. Results: Here, we present tissueResolver, an algorithm designed to extract single-cell ...
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