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ESANN
2006
15 years 8 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
BMCBI
2008
92views more  BMCBI 2008»
15 years 6 months ago
Proteochemometric modeling of HIV protease susceptibility
Background: A major obstacle in treatment of HIV is the ability of the virus to mutate rapidly into drug-resistant variants. A method for predicting the susceptibility of mutated ...
Maris Lapinsh, Martin Eklund, Ola Spjuth, Peteris ...
BMCBI
2010
117views more  BMCBI 2010»
15 years 6 months ago
MetAssimulo: Simulation of Realistic NMR Metabolic Profiles
Background: Probing the complex fusion of genetic and environmental interactions, metabolic profiling (or metabolomics/metabonomics), the study of small molecules involved in meta...
Harriet J. Muncey, Rebecca Jones, Maria De Iorio, ...
BMCBI
2007
133views more  BMCBI 2007»
15 years 6 months ago
Semantic integration to identify overlapping functional modules in protein interaction networks
Background: The systematic analysis of protein-protein interactions can enable a better understanding of cellular organization, processes and functions. Functional modules can be ...
Young-Rae Cho, Woochang Hwang, Murali Ramanathan, ...
BMCBI
2007
176views more  BMCBI 2007»
15 years 6 months ago
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue
Background: Micro- and macroarray technologies help acquire thousands of gene expression patterns covering important biological processes during plant ontogeny. Particularly, fait...
Marc Strickert, Nese Sreenivasulu, Björn Usad...