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.
Package details |
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Author | Ning Wang [aut, cre], Andrew Teschendorff [aut] |
Bioconductor views | GeneExpression GeneRegulation GeneTarget Network NetworkInference SingkeCell Software Transcription |
Maintainer | Ning Wang <wangning@picb.ac.cn> |
License | GPL-3 |
Version | 0.99.0 |
Package repository | View on GitHub |
Installation |
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