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CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 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
BMCBI
2010
178views more  BMCBI 2010»
15 years 6 months ago
Applications of a formal approach to decipher discrete genetic networks
Background: A growing demand for tools to assist the building and analysis of biological networks exists in systems biology. We argue that the use of a formal approach is relevant...
Fabien Corblin, Eric Fanchon, Laurent Trilling
ISMB
1993
15 years 7 months ago
Pattern Discovery in Gene Regulation: Designing an Analysis Environment
Interactions that determinecellular fate are exceedingly complex, can take place at different levels of gene regulation and involve a large numberof components(such as genes, prot...
Stella Veretnik, Bruce R. Schatz
ER
2005
Springer
121views Database» more  ER 2005»
15 years 11 months ago
Agent Oriented Data Integration
Abstract. Data integration is the process by which data from heterogeneous data sources are conceptually integrated into a single cohesive data set. In recent years agents have bee...
Avigdor Gal, Aviv Segev, Christos Tatsiopoulos, Ko...
CSB
2005
IEEE
161views Bioinformatics» more  CSB 2005»
15 years 11 months ago
Data Integration in the Mouse Genome Informatics (MGI) Database
The Mouse Genome Informatics (MGI) Database at The Jackson Laboratory provides a comprehensive public resource about the laboratory mouse. MGI curated data types include gene repr...
Donnie Qi, Judith A. Blake, James A. Kadin, Joel E...