Cargando…
Disease association and inter-connectivity analysis of human brain specific co-expressed functional modules
BACKGROUND: In the recent studies, it is suggested that the analysis of transcriptomic change of functional modules instead of individual genes would be more effective for system-wide identification of cellular functions. This could also provide a new possibility for the better understanding of diff...
Autores principales: | Oh, Kimin, Hwang, Taeho, Cha, Kihoon, Yi, Gwan-Su |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4681143/ https://www.ncbi.nlm.nih.gov/pubmed/26671687 http://dx.doi.org/10.1186/s40659-015-0061-4 |
Ejemplares similares
-
Discovering transnosological molecular basis of human brain diseases using biclustering analysis of integrated gene expression data
por: Cha, Kihoon, et al.
Publicado: (2015) -
Drug Similarity Search Based on Combined Signatures in Gene Expression Profiles
por: Cha, Kihoon, et al.
Publicado: (2014) -
Correction: Drug Similarity Search Based on Combined Signatures in Gene Expression Profiles
por: Cha, Kihoon, et al.
Publicado: (2014) -
DynaMod: dynamic functional modularity analysis
por: Sun, Choong-Hyun, et al.
Publicado: (2010) -
CLIC: clustering analysis of large microarray datasets with individual dimension-based clustering
por: Yun, Taegyun, et al.
Publicado: (2010)