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BMCBI
2008
87views more  BMCBI 2008»
15 years 7 months ago
Volume-based solvation models out-perform area-based models in combined studies of wild-type and mutated protein-protein interfa
Background: Empirical binding models have previously been investigated for the energetics of protein complexation (G models) and for the influence of mutations on complexation (i....
Salim Bougouffa, Jim Warwicker
BMCBI
2007
167views more  BMCBI 2007»
15 years 7 months ago
A stochastic differential equation model for transcriptional regulatory networks
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
Adriana Climescu-Haulica, Michelle D. Quirk
ATAL
2005
Springer
16 years 1 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
16 years 27 days ago
Validating and Refining Clusters via Visual Rendering
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
Keke Chen, Ling Liu
BMCBI
2008
110views more  BMCBI 2008»
15 years 7 months ago
Enhancing the prediction of protein pairings between interacting families using orthology information
Background: It has repeatedly been shown that interacting protein families tend to have similar phylogenetic trees. These similarities can be used to predicting the mapping betwee...
José M. G. Izarzugaza, David de Juan, Carle...