Cargando…
dynGENIE3: dynamical GENIE3 for the inference of gene networks from time series expression data
The elucidation of gene regulatory networks is one of the major challenges of systems biology. Measurements about genes that are exploited by network inference methods are typically available either in the form of steady-state expression vectors or time series expression data. In our previous work,...
Autores principales: | Huynh-Thu, Vân Anh, Geurts, Pierre |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5821733/ https://www.ncbi.nlm.nih.gov/pubmed/29467401 http://dx.doi.org/10.1038/s41598-018-21715-0 |
Ejemplares similares
-
GENIE
por: Andreopoulos, Costas
Publicado: (2022) -
Génie climatique
por: Recknagel, Hermann, et al.
Publicado: (2013) -
The GENI book
por: McGeer, Rick, et al.
Publicado: (2016) -
GENIES: gene network inference engine based on supervised analysis
por: Kotera, Masaaki, et al.
Publicado: (2012) -
Isolde: Génie-civil
Publicado: (1991)