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digitalDLSorteR: Deconvolution of Bulk RNA-Seq Data Based on Deep Learning
Deconvolution of bulk RNA-Seq data using context-specific deconvolution models based on Deep Neural Networks using scRNA-Seq data as input. These models are able to make accurate estimates of the cell composition of bulk RNA-Seq samples from the same context using the advances provided by Deep Learning and the meaningful information provided by scRNA-Seq data. See Torroja and Sanchez-Cabo (2019) <doi:10.3389/fgene.2019.00978> for more details.
Package details |
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| Author | Diego Mañanes [aut, cre] (<https://orcid.org/0000-0001-7247-6794>), Carlos Torroja [aut] (<https://orcid.org/0000-0001-8914-3400>), Fatima Sanchez-Cabo [aut] (<https://orcid.org/0000-0003-1881-1664>) |
| Maintainer | Diego Mañanes <dmananesc@cnic.es> |
| License | GPL-3 |
| Version | 1.1.0 |
| URL | https://diegommcc.github.io/digitalDLSorteR/ https://github.com/diegommcc/digitalDLSorteR |
| Package repository | View on CRAN |
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