Cargando…
Analysis of Gene Coexpression by B-Spline Based CoD Estimation
The gene coexpression study has emerged as a novel holistic approach for microarray data analysis. Different indices have been used in exploring coexpression relationship, but each is associated with certain pitfalls. The Pearson's correlation coefficient, for example, is not capable of uncover...
Autores principales: | Li, Huai, Sun, Yu, Zhan, Ming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3171342/ https://www.ncbi.nlm.nih.gov/pubmed/17846662 http://dx.doi.org/10.1155/2007/49478 |
Ejemplares similares
-
Parameter estimation in systems biology models using spline approximation
por: Zhan, Choujun, et al.
Publicado: (2011) -
Spline estimation of distribution and density functions
por: Schorr, Benno
Publicado: (1975) -
Transcriptome coexpression map of human embryonic stem cells
por: Li, Huai, et al.
Publicado: (2006) -
Differentially Coexpressed Disease Gene Identification Based on Gene Coexpression Network
por: Jiang, Xue, et al.
Publicado: (2016) -
Gene differential coexpression analysis based on biweight correlation and maximum clique
por: Zheng, Chun-Hou, et al.
Publicado: (2014)