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ingres: Infer Gene Probabilistic Boolean Networks from Single-Cell Data
Given a gene regulatory boolean network and a RNA-seq dataset, this package computes protein activity normalised enrichment scores using 'VIPER', and then produces a probabilistic network using the scores as probabilities for fixed node activation or deactivation, in addition to the original Boolean functions. For more information, refer to the preprint: Victori and Buffa (2022) <doi:10.1101/2022.09.04.506528>.
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Package details |
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| Author | Pedro Victori [aut, cre] (<https://orcid.org/0000-0001-6321-5584>), Francesca M. Buffa [aut] (<https://orcid.org/0000-0003-0409-406X>) |
| Maintainer | Pedro Victori <pedroluisvictori@gmail.com> |
| License | GPL (>= 3) |
| Version | 1.0.0 |
| URL | https://github.com/CBigOxf/ingres https://cbigoxf.github.io/ingres/ |
| Package repository | View on CRAN |
| Installation |
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