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» The Structure Function and Distinguishable Models of Data
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BMCBI
2010
136views more  BMCBI 2010»
13 years 9 months ago
Protein structure analysis of mutations causing inheritable diseases. An e-Science approach with life scientist friendly interfa
Background: Many newly detected point mutations are located in protein-coding regions of the human genome. Knowledge of their effects on the protein's 3D structure provides i...
Hanka Venselaar, Tim A. H. te Beek, Remko K. P. Ku...
BMCBI
2010
148views more  BMCBI 2010»
13 years 3 months ago
SKPDB: a structural database of shikimate pathway enzymes
Background: The functional and structural characterisation of enzymes that belong to microbial metabolic pathways is very important for structure-based drug design. The main inter...
Helen A. Arcuri, Geraldo F. D. Zafalon, Evandro A....
ESANN
2004
13 years 10 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
DBPL
2005
Springer
143views Database» more  DBPL 2005»
14 years 2 months ago
Inconsistency Tolerance in P2P Data Integration: An Epistemic Logic Approach
We study peer-to-peer ðP2PÞ data integration, where each peer models an autonomous system that exports data in terms of its own schema, and data interoperation is achieved by me...
Diego Calvanese, Giuseppe De Giacomo, Domenico Lem...
ADCM
2008
136views more  ADCM 2008»
13 years 9 months ago
Learning and approximation by Gaussians on Riemannian manifolds
Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
Gui-Bo Ye, Ding-Xuan Zhou