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BMCBI
2008
138views more  BMCBI 2008»
14 years 9 months ago
Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
Ching-Wai Tan, David T. Jones
BMCBI
2006
239views more  BMCBI 2006»
14 years 9 months ago
Applying dynamic Bayesian networks to perturbed gene expression data
Background: A central goal of molecular biology is to understand the regulatory mechanisms of gene transcription and protein synthesis. Because of their solid basis in statistics,...
Norbert Dojer, Anna Gambin, Andrzej Mizera, Bartek...
BMCBI
2007
115views more  BMCBI 2007»
14 years 9 months ago
Recognizing protein-protein interfaces with empirical potentials and reduced amino acid alphabets
Background: In structural genomics, an important goal is the detection and classification of protein–protein interactions, given the structures of the interacting partners. We h...
Guillaume Launay, Raul Mendez, Shoshana J. Wodak, ...
AIED
2009
Springer
14 years 7 months ago
Investigating the Effects of Social Goals in a Negotiation Game with Virtual Humans
Educational games may be particularly suited to teaching social learning skills with virtual humans. We investigate the importance of social goals and engaging social interactions ...
Amy Ogan, Vincent Aleven, Christopher Jones
SDM
2011
SIAM
269views Data Mining» more  SDM 2011»
14 years 15 days ago
Semi-Supervised Convolution Graph Kernels for Relation Extraction
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
Xia Ning, Yanjun Qi