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» A graphical model for predicting protein molecular function
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BMCBI
2007
96views more  BMCBI 2007»
13 years 8 months ago
Protein subcellular localization prediction based on compartment-specific features and structure conservation
Motivation: Protein subcellular localization is crucial for genome annotation, protein function prediction, and drug discovery. However, since determining subcellular localization...
Emily Chia-Yu Su, Hua-Sheng Chiu, Allan Lo, Jenn-K...
NAR
2011
277views Computer Vision» more  NAR 2011»
12 years 10 months ago
The 2011 Nucleic Acids Research Database Issue and the online Molecular Biology Database Collection
The current 18th Database Issue of Nucleic Acids Research features descriptions of 96 new and 83 updated online databases covering various areas of molecular biology. It includes ...
Michael Y. Galperin, Guy Cochrane
ICMLA
2008
13 years 9 months ago
Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
Cecilia Sönströd, Ulf Johansson, Ulf Nor...
BICOB
2009
Springer
13 years 11 months ago
Constrained Fisher Scores Derived from Interaction Profile Hidden Markov Models Improve Protein to Protein Interaction Predictio
Protein-protein interaction plays critical roles in cellular functions. In this work, we propose a computational method to predict protein-protein interaction by using support vec...
Alvaro J. González, Li Liao
RECOMB
2005
Springer
14 years 8 months ago
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition
Abstract. Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmenta...
Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanath...