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» Modelling Coordination in Biological Systems
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BMCBI
2008
95views more  BMCBI 2008»
15 years 6 months ago
Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
Joseph W. Foley, Fumiaki Katagiri
BIB
2007
137views more  BIB 2007»
15 years 6 months ago
Current progress in network research: toward reference networks for key model organisms
The collection of multiple genome-scale datasets is now routine, and the frontier of research in systems biology has shifted accordingly. Rather than clustering a single dataset t...
Balaji S. Srinivasan, Nigam H. Shah, Jason Flannic...
WOSS
2004
ACM
15 years 12 months ago
Self-managed decentralised systems using K-components and collaborative reinforcement learning
Components in a decentralised system are faced with uncertainty as how to best adapt to a changing environment to maintain or optimise system performance. How can individual compo...
Jim Dowling, Vinny Cahill
ICES
2003
Springer
103views Hardware» more  ICES 2003»
15 years 11 months ago
Fault Tolerance via Endocrinologic Based Communication for Multiprocessor Systems
The communication mechanism used by the biological cells of higher animals is an integral part of an organisms ability to tolerate cell deficiency or loss. The massive redundancy ...
Andrew J. Greensted, Andrew M. Tyrrell
TCBB
2010
89views more  TCBB 2010»
15 years 4 months ago
Model Composition for Macromolecular Regulatory Networks
—Models of regulatory networks become more difficult to construct and understand as they grow in size and complexity. Large models are usually built up from smaller models, repre...
Ranjit Randhawa, Clifford A. Shaffer, John J. Tyso...