SSBER: removing batch effect for single-cell RNA sequencing data
Abstract 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, do...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-05-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-021-04165-w |