| Autor: |
Hai C. T. Nguyen, Bukyung Baik, Sora Yoon, Taesung Park, Dougu Nam |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Nature Communications, Vol 14, Iss 1, Pp 1-16 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-023-37126-3 |
| Popis: |
Integration of single-cell RNA sequencing data between different samples has been a major challenge for analyzing cell populations. Here the authors benchmark 46 workflows for differential expression analysis of single-cell data with multiple batches and suggest several high-performance methods under different conditions based on simulation and real data analyses. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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