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» An Ontology-based Model of Clinical Information
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BMCBI
2010
165views more  BMCBI 2010»
13 years 8 months ago
Multivariate meta-analysis of proteomics data from human prostate and colon tumours
Background: There is a vast need to find clinically applicable protein biomarkers as support in cancer diagnosis and tumour classification. In proteomics research, a number of met...
Lina Hultin Rosenberg, Bo Franzén, Gert Aue...
BMCBI
2008
81views more  BMCBI 2008»
13 years 8 months ago
A perspective for biomedical data integration: Design of databases for flow cytometry
Background: The integration of biomedical information is essential for tackling medical problems. We describe a data model in the domain of flow cytometry (FC) allowing for massiv...
John Drakos, Marina Karakantza, Nicholas C. Zoumbo...
UIST
2010
ACM
13 years 5 months ago
Designing adaptive feedback for improving data entry accuracy
Data quality is critical for many information-intensive applications. One of the best opportunities to improve data quality is during entry. USHER provides a theoretical, data-dri...
Kuang Chen, Joseph M. Hellerstein, Tapan S. Parikh
BMCBI
2007
126views more  BMCBI 2007»
13 years 8 months ago
Reconstruction of cell population dynamics using CFSE
Background: Quantifying cell division and death is central to many studies in the biological sciences. The fluorescent dye CFSE allows the tracking of cell division in vitro and i...
Andrew Yates, Cliburn Chan, Jessica Strid, Simon M...
ESANN
2007
13 years 9 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann