Journal article
Demultiplexing of single-cell RNA-sequencing data using interindividual variation in gene expression
- Abstract:
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Motivation: Pooled designs for single-cell RNA sequencing, where many cells from distinct samples are processed jointly, offer increased throughput and reduced batch variation. This study describes expression-aware demultiplexing (EAD), a computational method that employs differential co-expression patterns between individuals to demultiplex pooled samples without any extra experimental steps. Results: We use synthetic sample pools and show that the top interindividual differentially co-expre...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 25.6MB, Terms of use)
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- Publisher copy:
- 10.1093/bioadv/vbae085
Authors
Bibliographic Details
- Publisher:
- Oxford University Press
- Journal:
- Bioinformatics Advances More from this journal
- Volume:
- 4
- Issue:
- 1
- Article number:
- vbae085
- Publication date:
- 2024-06-08
- Acceptance date:
- 2024-06-07
- DOI:
- EISSN:
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2635-0041
Item Description
- Language:
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English
- Source identifiers:
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2060106
- Deposit date:
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2024-06-22
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