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» Protein Model Representation and Construction
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BMCBI
2006
150views more  BMCBI 2006»
13 years 8 months ago
Predicting protein subcellular locations using hierarchical ensemble of Bayesian classifiers based on Markov chains
Background: The subcellular location of a protein is closely related to its function. It would be worthwhile to develop a method to predict the subcellular location for a given pr...
Alla Bulashevska, Roland Eils
BMCBI
2005
77views more  BMCBI 2005»
13 years 8 months ago
Ontological visualization of protein-protein interactions
Background: Cellular processes require the interaction of many proteins across several cellular compartments. Determining the collective network of such interactions is an importa...
Harold J. Drabkin, Christopher Hollenbeck, David P...
ICML
2004
IEEE
14 years 9 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu
AIED
2007
Springer
14 years 2 months ago
Comparing Student-Constructed Open Learner Model Presentations to the Domain
Increasingly, learning environments are opening the learner model to the user it represents. This paper describes a study in which students were able to create their own presentati...
Andrew Mabbott, Susan Bull
BIRD
2008
Springer
109views Bioinformatics» more  BIRD 2008»
13 years 10 months ago
A Robust Class of Stable Proteins in the 2D HPC Model
The inverse protein folding problem is that of designing an amino acid sequence which has a prescribed native protein fold. This problem arises in drug design where a particular st...
Alireza Hadj Khodabakhshi, Ján Manuch, Aras...