SCIRA (Single Cell Inference of Regulatory Activity) is such a hybrid approach which uses the inferred predicted targets (or "regulon") of a given transcription factor from bulk data to infer its regulatory activity in each single cell.
|Author||Ning Wang [aut, cre], Andrew Teschendorff [aut]|
|Bioconductor views||GeneExpression GeneRegulation GeneTarget Network NetworkInference SingkeCell Software Transcription|
|Maintainer||Ning Wang <email@example.com>|
|Package repository||View on GitHub|
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