Cargando…
LogicNet: probabilistic continuous logics in reconstructing gene regulatory networks
BACKGROUND: Gene Regulatory Networks (GRNs) have been previously studied by using Boolean/multi-state logics. While the gene expression values are usually scaled into the range [0, 1], these GRN inference methods apply a threshold to discretize the data, resulting in missing information. Most of stu...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372900/ https://www.ncbi.nlm.nih.gov/pubmed/32690031 http://dx.doi.org/10.1186/s12859-020-03651-x |