Cargando…
NETGEM: Network Embedded Temporal GEnerative Model for gene expression data
BACKGROUND: Temporal analysis of gene expression data has been limited to identifying genes whose expression varies with time and/or correlation between genes that have similar temporal profiles. Often, the methods do not consider the underlying network constraints that connect the genes. It is beco...
Autores principales: | Jethava, Vinay, Bhattacharyya, Chiranjib, Dubhashi, Devdatt, Vemuri, Goutham N |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3228555/ https://www.ncbi.nlm.nih.gov/pubmed/21824426 http://dx.doi.org/10.1186/1471-2105-12-327 |
Ejemplares similares
-
The IncP-1 plasmid backbone adapts to different host bacterial species and evolves through homologous recombination
por: Norberg, Peter, et al.
Publicado: (2011) -
Concentration of measure for the analysis of randomized algorithms
por: Dubhashi, Devdatt, et al.
Publicado: (2009) -
Juxtapose: a gene-embedding approach for comparing co-expression networks
por: Ovens, Katie, et al.
Publicado: (2021) -
A reinforcement-learning approach to efficient communication
por: Kågebäck, Mikael, et al.
Publicado: (2020) -
Predicting combinations of drugs by exploiting graph embedding of heterogeneous networks
por: Song, Fei, et al.
Publicado: (2022)