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BMCBI
2008
141views more  BMCBI 2008»
14 years 9 months ago
Ontology-guided data preparation for discovering genotype-phenotype relationships
Complexity of post-genomic data and multiplicity of mining strategies are two limits to Knowledge Discovery in Databases (KDD) in life sciences. Because they provide a semantic fr...
Adrien Coulet, Malika Smaïl-Tabbone, Pascale ...
BMCBI
2008
116views more  BMCBI 2008»
14 years 9 months ago
Gene Ontology annotations: what they mean and where they come from
To address the challenges of information integration and retrieval, the computational genomics community increasingly has come to rely on the methodology of creating annotations o...
David P. Hill, Barry Smith, Monica S. McAndrews-Hi...
BMCBI
2007
166views more  BMCBI 2007»
14 years 9 months ago
Data handling strategies for high throughput pyrosequencers
Background: New high throughput pyrosequencers such as the 454 Life Sciences GS 20 are capable of massively parallelizing DNA sequencing providing an unprecedented rate of output ...
Gabriele A. Trombetti, Raoul J. P. Bonnal, Ermanno...
AAMAS
2005
Springer
14 years 9 months ago
Argumentation and the Dynamics of Warranted Beliefs in Changing Environments
One of the most difficult problems in Multi-Agent Systems (MAS) involves representing the knowledge and beliefs of an agent which performs its tasks in a dynamic environment. New p...
Marcela Capobianco, Carlos Iván Chesñ...
BMCBI
2005
116views more  BMCBI 2005»
14 years 9 months ago
Which gene did you mean?
Computational Biology needs computer-readable information records. Increasingly, meta-analysed and pre-digested information is being used in the follow up of high throughput exper...
Barend Mons