Cargando…
CASE: a framework for computer supported outbreak detection
BACKGROUND: In computer supported outbreak detection, a statistical method is applied to a collection of cases to detect any excess cases for a particular disease. Whether a detected aberration is a true outbreak is decided by a human expert. We present a technical framework designed and implemented...
Autores principales: | Cakici, Baki, Hebing, Kenneth, Grünewald, Maria, Saretok, Paul, Hulth, Anette |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2845547/ https://www.ncbi.nlm.nih.gov/pubmed/20226035 http://dx.doi.org/10.1186/1472-6947-10-14 |
Ejemplares similares
-
Broadwick: a framework for computational epidemiology
por: O’Hare, Anthony, et al.
Publicado: (2016) -
SCIFIO: an extensible framework to support scientific image formats
por: Hiner, Mark C., et al.
Publicado: (2016) -
Biotite: a unifying open source computational biology framework in Python
por: Kunzmann, Patrick, et al.
Publicado: (2018) -
tappAS: a comprehensive computational framework for the analysis of the functional impact of differential splicing
por: de la Fuente, Lorena, et al.
Publicado: (2020) -
circRNAprofiler: an R-based computational framework for the downstream analysis of circular RNAs
por: Aufiero, Simona, et al.
Publicado: (2020)