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BMCBI
2008
100views more  BMCBI 2008»
13 years 5 months ago
High-precision high-coverage functional inference from integrated data sources
Background: Information obtained from diverse data sources can be combined in a principled manner using various machine learning methods to increase the reliability and range of k...
Bolan Linghu, Evan S. Snitkin, Dustin T. Holloway,...
SEMWEB
2010
Springer
13 years 3 months ago
Enabling Ontology-Based Access to Streaming Data Sources
The availability of streaming data sources is progressively increasing thanks to the development of ubiquitous data capturing technologies such as sensor networks. The heterogeneit...
Jean-Paul Calbimonte, Óscar Corcho, Alasdai...
CSB
2005
IEEE
210views Bioinformatics» more  CSB 2005»
13 years 11 months ago
Problem Solving Environment Approach to Integrating Diverse Biological Data Sources
Scientists face an ever-increasing challenge in investigating biological systems with high throughput experimental methods such as mass spectrometry and gene arrays because of the...
Eric G. Stephan, Kyle R. Klicker, Mudita Singhal, ...
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
13 years 11 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
ISCC
2006
IEEE
129views Communications» more  ISCC 2006»
13 years 11 months ago
A Semantic Overlay Network for P2P Schema-Based Data Integration
Abstract— Today data sources are pervasive and their number is growing tremendously. Current tools are not prepared to exploit this unprecedented amount of information and to cop...
Carmela Comito, Simon Patarin, Domenico Talia