Alleviating batch effects in cell type deconvolution with SCCAF-D
Abstract Cell type deconvolution methods can impute cell proportions from bulk transcriptomics data, revealing changes in disease progression or organ development. But benchmarking studies often use simulated bulk data from the same source as the reference, which limits its application scenarios. Th...
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| 主要な著者: | , , , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Portfolio
2024-12-01
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| シリーズ: | Nature Communications |
| オンライン･アクセス: | https://doi.org/10.1038/s41467-024-55213-x |
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