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SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
13 years 8 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
BIB
2000
117views more  BIB 2000»
13 years 7 months ago
Ontology-based Knowledge Representation for Bioinformatics
Much of biology works by applying prior knowledge (`what is known') to an unknown entity, rather than the application of a set of axioms that will elicit knowledge. In additi...
Robert Stevens, Carole A. Goble, Sean Bechhofer
BMCBI
2006
184views more  BMCBI 2006»
13 years 7 months ago
PathSys: integrating molecular interaction graphs for systems biology
Background: The goal of information integration in systems biology is to combine information from a number of databases and data sets, which are obtained from both high and low th...
Michael Baitaluk, Xufei Qian, Shubhada Godbole, Al...
BMCBI
2008
163views more  BMCBI 2008»
13 years 7 months ago
The Annotation, Mapping, Expression and Network (AMEN) suite of tools for molecular systems biology
Background: High-throughput genome biological experiments yield large and multifaceted datasets that require flexible and user-friendly analysis tools to facilitate their interpre...
Frédéric Chalmel, Michael Primig
SIGMOD
2004
ACM
88views Database» more  SIGMOD 2004»
14 years 7 months ago
Using Reasoning to Guide Annotation with Gene Ontology Terms in GOAT
High-quality annotation of biological data is central to bioinformatics. Annotation using terms from ontologies provides reliable computational access to data. The Gene Ontology (...
Michael Bada, Daniele Turi, Robin McEntire, Robert...