Cargando…
Detecting disease associated modules and prioritizing active genes based on high throughput data
BACKGROUND: The accumulation of high-throughput data greatly promotes computational investigation of gene function in the context of complex biological systems. However, a biological function is not simply controlled by an individual gene since genes function in a cooperative manner to achieve biolo...
Autores principales: | Qiu, Yu-Qing, Zhang, Shihua, Zhang, Xiang-Sun, Chen, Luonan |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2825224/ https://www.ncbi.nlm.nih.gov/pubmed/20070902 http://dx.doi.org/10.1186/1471-2105-11-26 |
Ejemplares similares
-
Revealing divergent evolution, identifying circular permutations and detecting active-sites by protein structure comparison
por: Chen, Luonan, et al.
Publicado: (2006) -
TriageTools: tools for partitioning and prioritizing analysis of high-throughput sequencing data
por: Fimereli, Danai, et al.
Publicado: (2013) -
Exposure Prioritization (Ex Priori): A Screening-Level High-Throughput Chemical Prioritization Tool
por: Hubbard, Heidi F., et al.
Publicado: (2022) -
Disease-Aging Network Reveals Significant Roles of Aging Genes in Connecting Genetic Diseases
por: Wang, Jiguang, et al.
Publicado: (2009) -
Correction: Disease-Aging Network Reveals Significant Roles of Aging Genes in Connecting Genetic Diseases
por: Wang, Jiguang, et al.
Publicado: (2009)