Cargando…
Adapting Community Detection Algorithms for Disease Module Identification in Heterogeneous Biological Networks
Biological networks catalog the complex web of interactions happening between different molecules, typically proteins, within a cell. These networks are known to be highly modular, with groups of proteins associated with specific biological functions. Human diseases often arise from the dysfunction...
Autores principales: | Tripathi, Beethika, Parthasarathy, Srinivasan, Sinha, Himanshu, Raman, Karthik, Ravindran, Balaraman |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6424898/ https://www.ncbi.nlm.nih.gov/pubmed/30918511 http://dx.doi.org/10.3389/fgene.2019.00164 |
Ejemplares similares
-
NetGenes: A Database of Essential Genes Predicted Using Features From Interaction Networks
por: Senthamizhan, Vimaladhasan, et al.
Publicado: (2021) -
Network-based features enable prediction of essential genes across diverse organisms
por: Azhagesan, Karthik, et al.
Publicado: (2018) -
Sequence Neighborhoods Enable Reliable Prediction of Pathogenic Mutations in Cancer Genomes
por: Banerjee, Shayantan, et al.
Publicado: (2021) -
Mining Functional Modules in Heterogeneous Biological Networks Using Multiplex PageRank Approach
por: Li, Jun, et al.
Publicado: (2016) -
Scaling Graph Propagation Kernels for Predictive Learning
por: Vijayan, Priyesh, et al.
Publicado: (2022)