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BIOINFORMATICS
2007
117views more  BIOINFORMATICS 2007»
15 years 6 months ago
Mining biological networks for unknown pathways
Biological pathways provide significant insights on the interaction mechanisms of molecules. Presently, many essential pathways still remain unknown or incomplete for newly sequen...
Ali Cakmak, Gultekin Özsoyoglu
JCIT
2008
108views more  JCIT 2008»
15 years 6 months ago
Data Mining for Genetics: A Genetic Algorithm Approach
MINING biological data is an emerging area of intersection between data mining and bioinformatics. Bio-informaticians have been working on the research and development of computat...
G. Madhu, Keshava Reddy
ISOLA
2010
Springer
15 years 4 months ago
A Linked Data Approach to Sharing Workflows and Workflow Results
A bioinformatics analysis pipeline is often highly elaborate, due to the inherent complexity of biological systems and the variety and size of laboratory publications would be high...
Marco Roos, Sean Bechhofer, Jun Zhao, Paolo Missie...
CSB
2004
IEEE
154views Bioinformatics» more  CSB 2004»
15 years 10 months ago
Multi-Knockout Genetic Network Analysis: The Rad6 Example
A novel and rigorous Multi-perturbation Shapley Value Analysis (MSA) method has been recently presented [12]. The method addresses the challenge of defining and calculating the fu...
Alon Kaufman, Martin Kupiec, Eytan Ruppin
BIBE
2008
IEEE
111views Bioinformatics» more  BIBE 2008»
15 years 8 months ago
Structure learning for biomolecular pathways containing cycles
Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...
S. Itani, Karen Sachs, Garry P. Nolan, M. A. Dahle...