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Improving bulk RNA-seq classification by transferring gene signature from single cells in acute myeloid leukemia

5 Jan 2022

Abstract excerpt

The advances in single-cell RNA sequencing (scRNA-seq) technologies enable the characterization of transcriptomic profiles at the cellular level and demonstrate great promise in bulk sample analysis thereby offering opportunities to transfer gene signature from scRNA-seq to bulk data. However, the gene expression signatures identified from single cells are typically inapplicable to bulk RNA-seq data due to the...

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PMID: 35136933
DOI: 10.1093/bib/bbac002

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