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» Using OWL to model biological knowledge
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ECML
2006
Springer
13 years 11 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
BMCBI
2007
126views more  BMCBI 2007»
13 years 7 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...
ICSE
2010
IEEE-ACM
13 years 9 months ago
Supporting developers with natural language queries
The feature list of modern IDEs is steadily growing and mastering these tools becomes more and more demanding, especially for novice programmers. Despite their remarkable capabili...
Michael Würsch, Giacomo Ghezzi, Gerald Reif, ...
ICDM
2006
IEEE
127views Data Mining» more  ICDM 2006»
14 years 1 months ago
Predictive Integration of Gene Ontology-Driven Similarity and Functional Interactions
There is a need to develop methods to automatically incorporate prior knowledge to support the prediction and validation of novel functional associations. One such important sourc...
Francisco Azuaje, Haiying Wang, Huiru Zheng, Olivi...
CONSTRAINTS
2008
95views more  CONSTRAINTS 2008»
13 years 7 months ago
Efficient Sequence Alignment with Side-Constraints by Cluster Tree Elimination
Aligning DNA and protein sequences is a core technique in molecular biology. Often, it is desirable to include partial prior knowledge and conditions in an alignment. Going beyond...
Sebastian Will, Anke Busch, Rolf Backofen