Cargando…
Towards perturbation prediction of biological networks using deep learning
The mapping of the physical interactions between biochemical entities enables quantitative analysis of dynamic biological living systems. While developing a precise dynamical model on biological entity interaction is still challenging due to the limitation of kinetic parameter detection of the under...
Autores principales: | Li, Diya, Gao, Jianxi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6697687/ https://www.ncbi.nlm.nih.gov/pubmed/31420588 http://dx.doi.org/10.1038/s41598-019-48391-y |
Ejemplares similares
-
Biological network analysis with deep learning
por: Muzio, Giulia, et al.
Publicado: (2020) -
Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network
por: Li, Yuexiang, et al.
Publicado: (2018) -
Discovering Networks of Perturbed Biological Processes in Hepatocyte Cultures
por: Lasher, Christopher D., et al.
Publicado: (2011) -
Perturbation Biology: Inferring Signaling Networks in Cellular Systems
por: Molinelli, Evan J., et al.
Publicado: (2013) -
Prediction of perturbed proton transfer networks
por: Reidelbach, Marco, et al.
Publicado: (2018)