Cargando…
Applying Intelligent Computing Techniques to Modeling Biological Networks from Expression Data
Constructing biological networks is one of the most important issues in systems biology. However, constructing a network from data manually takes a considerable large amount of time, therefore an automated procedure is advocated. To automate the procedure of network construction, in this work we use...
Autores principales: | Lee, Wei-Po, Yang, Kung-Cheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054112/ https://www.ncbi.nlm.nih.gov/pubmed/18973867 http://dx.doi.org/10.1016/S1672-0229(08)60026-1 |
Ejemplares similares
-
Discovery of biological networks from diverse functional genomic data
por: Myers, Chad L, et al.
Publicado: (2005) -
Predicting the accuracy of multiple sequence alignment algorithms by using computational intelligent techniques
por: Ortuño, Francisco M., et al.
Publicado: (2013) -
An approach for determining and measuring network hierarchy applied to comparing the phosphorylome and the regulome
por: Cheng, Chao, et al.
Publicado: (2015) -
Patient-specific analysis of co-expression to measure biological network rewiring in individuals
por: Wei, Lanying, et al.
Publicado: (2023) -
scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
por: Qian, Kun, et al.
Publicado: (2022)