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145
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CIBCB
2009
IEEE
15 years 3 months ago
Application of machine learning approaches on quantitative structure activity relationships
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
Mariusz Butkiewicz, Ralf Mueller, Danilo Selic, Er...
GCB
2007
Springer
161views Biometrics» more  GCB 2007»
15 years 8 months ago
High-Precision Function Prediction using Conserved Interactions
: The recent availability of large data sets of protein- protein-interactions (PPIs) from various species offers new opportunities for functional genomics and proteomics. We descri...
Samira Jaeger, Ulf Leser
BMCBI
2006
152views more  BMCBI 2006»
15 years 2 months ago
Predicting deleterious nsSNPs: an analysis of sequence and structural attributes
Background: There has been an explosion in the number of single nucleotide polymorphisms (SNPs) within public databases. In this study we focused on non-synonymous protein coding ...
Richard J. B. Dobson, Patricia B. Munroe, Mark J. ...
110
Voted
ICML
2003
IEEE
16 years 3 months ago
Learning with Knowledge from Multiple Experts
The use of domain knowledge in a learner can greatly improve the models it produces. However, high-quality expert knowledge is very difficult to obtain. Traditionally, researchers...
Matthew Richardson, Pedro Domingos
107
Voted
APBC
2004
126views Bioinformatics» more  APBC 2004»
15 years 3 months ago
Informative 3D Visualization of Multiple Protein Structures
With the continued growth of three dimensional structural information databases comes a corresponding increase in interest in this data for the study of new sequences and an ever-...
Paulo Lai, Warren Kaplan, W. Bret Church, Raymond ...