Cargando…
Data- and knowledge-based modeling of gene regulatory networks: an update
Gene regulatory network inference is a systems biology approach which predicts interactions between genes with the help of high-throughput data. In this review, we present current and updated network inference methods focusing on novel techniques for data acquisition, network inference assessment, n...
Autores principales: | Linde, Jörg, Schulze, Sylvie, Henkel, Sebastian G., Guthke, Reinhard |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Leibniz Research Centre for Working Environment and Human Factors
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4817425/ https://www.ncbi.nlm.nih.gov/pubmed/27047314 http://dx.doi.org/10.17179/excli2015-168 |
Ejemplares similares
-
Computational prediction of molecular pathogen-host interactions based on dual transcriptome data
por: Schulze, Sylvie, et al.
Publicado: (2015) -
Data-based Reconstruction of Gene Regulatory Networks of Fungal Pathogens
por: Guthke, Reinhard, et al.
Publicado: (2016) -
Regulatory network modelling of iron acquisition by a fungal pathogen in contact with epithelial cells
por: Linde, Jörg, et al.
Publicado: (2010) -
Inference of dynamical gene-regulatory networks based on time-resolved multi-stimuli multi-experiment data applying NetGenerator V2.0
por: Weber, Michael, et al.
Publicado: (2013) -
How to Predict Molecular Interactions between Species?
por: Schulze, Sylvie, et al.
Publicado: (2016)