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CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 years 5 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»
14 years 12 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 1 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 5 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...
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CSB
2005
IEEE
161views Bioinformatics» more  CSB 2005»
15 years 5 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...