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SSBER: removing batch effect for single-cell RNA sequencing data
BACKGROUND: With the continuous maturity of sequencing technology, different laboratories or different sequencing platforms have generated a large amount of single-cell transcriptome sequencing data for the same or different tissues. Due to batch effects and high dimensions of scRNA data, downstream...
Tallennettuna:
| Julkaisussa: | BMC Bioinformatics |
|---|---|
| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8120905/ https://ncbi.nlm.nih.gov/pubmed/33990189 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04165-w |
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