Cargando…
GLIDER: function prediction from GLIDE-based neighborhoods
MOTIVATION: Protein function prediction, based on the patterns of connection in a protein–protein interaction (or association) network, is perhaps the most studied of the classical, fundamental inference problems for biological networks. A highly successful set of recent approaches use random walk-b...
Autores principales: | Devkota, Kapil, Schmidt, Henri, Werenski, Matt, Murphy, James M, Erden, Mert, Arsenescu, Victor, Cowen, Lenore J |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237677/ https://www.ncbi.nlm.nih.gov/pubmed/35575379 http://dx.doi.org/10.1093/bioinformatics/btac322 |
Ejemplares similares
-
MUNDO: protein function prediction embedded in a multispecies world
por: Arsenescu, Victor, et al.
Publicado: (2021) -
GLIDE: combining local methods and diffusion state embeddings to predict missing interactions in biological networks
por: Devkota, Kapil, et al.
Publicado: (2020) -
Cyclic fatigue resistance of the WaveOne Gold Glider, ProGlider, and the One G glide path instruments in double-curvature canals
por: Kırıcı, Damla, et al.
Publicado: (2019) -
Multimethod Assessment of the Cyclic Fatigue Strength of ProGlider, Edge Glide Path and R-Pilot Endodontic Instruments
por: Martins, Jorge N. R., et al.
Publicado: (2022) -
Glider representations
por: Caenepeel, Frederik, et al.
Publicado: (2019)