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

Abstract 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. Howev...

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Veröffentlicht in:	Briefings in bioinformatics 2022-03, Vol.23 (2)
Hauptverfasser:	Wang, Ran, Zheng, Xubin, Wang, Jun, Wan, Shibiao, Song, Fangda, Wong, Man Hon, Leung, Kwong Sak, Cheng, Lixin
Format:	Artikel
Sprache:	eng
Schlagworte:	Acute myeloid leukemia Animals Bulk sampling Classification Gene expression Gene Expression Profiling - methods Gene sequencing Knowledge management Leukemia Leukemia, Myeloid, Acute - genetics Mice Ribonucleic acid RNA RNA-Seq Sepsis Sequence Analysis, RNA - methods Signatures Single-Cell Analysis - methods Transcriptome Transcriptomes Transcriptomics
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