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135
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BMCBI
2006
239views more  BMCBI 2006»
15 years 3 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
2006
137views more  BMCBI 2006»
15 years 3 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...
135
Voted
CE
2007
176views more  CE 2007»
15 years 3 months ago
Pedagogical approaches for technology-integrated science teaching
The two separate projects described have examined how teachers exploit computer-based technologies in supporting learning of science at secondary level. This paper examines how pe...
Sara Hennessy, Jocelyn Wishart, Denise Whitelock, ...
146
Voted
CE
2007
122views more  CE 2007»
15 years 3 months ago
Employing virtual humans for education and training in X3D/VRML worlds
Web-based education and training provides a new paradigm for imparting knowledge; students can access the learning material anytime by operating remotely from any location. Web3D ...
Lucio Ieronutti, Luca Chittaro
ESWA
2007
127views more  ESWA 2007»
15 years 3 months ago
Clustering support vector machines for protein local structure prediction
Understanding the sequence-to-structure relationship is a central task in bioinformatics research. Adequate knowledge about this relationship can potentially improve accuracy for ...
Wei Zhong, Jieyue He, Robert W. Harrison, Phang C....