Combining Semantic Relations and DNA Microarray Data for Novel Hypotheses Generation.
Hristovski D, Kastrin A, Peterlin B, Rindflesch TC
Lecture Notes in Bioinformatics. Springer
Abstract:
Although microarray experiments have great potential to support progress in biomedical research, results are not easy to interpret. Information about the functions and relations of relevant genes needs to be extracted from the vast biomedical literature. A potential solution is to use computerized text analysis methods. Our proposal enhances these methods with semantic relations. We describe an application that integrates such relations with microarray results and discuss its benefits in supporting enhanced access to the relevant literature for interpretation of results and novel hypotheses generation. The application is available at http://sembt.mf.uni-lj.si
Hristovski D, Kastrin A, Peterlin B, Rindflesch TC. Combining Semantic Relations and DNA Microarray Data for Novel Hypotheses Generation.
Lecture Notes in Bioinformatics. Springer