Cargando…
Benchmarking network propagation methods for disease gene identification
In-silico identification of potential target genes for disease is an essential aspect of drug target discovery. Recent studies suggest that successful targets can be found through by leveraging genetic, genomic and protein interaction information. Here, we systematically tested the ability of 12 var...
Autores principales: | Picart-Armada, Sergio, Barrett, Steven J., Willé, David R., Perera-Lluna, Alexandre, Gutteridge, Alex, Dessailly, Benoit H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6743778/ https://www.ncbi.nlm.nih.gov/pubmed/31479437 http://dx.doi.org/10.1371/journal.pcbi.1007276 |
Ejemplares similares
-
Balancing Data on Deep Learning-Based Proteochemometric
Activity Classification
por: Lopez-del Rio, Angela, et al.
Publicado: (2021) -
FELLA: an R package to enrich metabolomics data
por: Picart-Armada, Sergio, et al.
Publicado: (2018) -
MultiPaths: a Python framework for analyzing multi-layer biological networks using diffusion algorithms
por: Marín-Llaó, Josep, et al.
Publicado: (2020) -
Null diffusion-based enrichment for metabolomics data
por: Picart-Armada, Sergio, et al.
Publicado: (2017) -
Data Simulation in Machine Olfaction with the R Package Chemosensors
por: Ziyatdinov, Andrey, et al.
Publicado: (2014)