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BMCBI
2007
194views more  BMCBI 2007»
15 years 6 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
BMCBI
2008
117views more  BMCBI 2008»
15 years 6 months ago
CrossHybDetector: detection of cross-hybridization events in DNA microarray experiments
Background: DNA microarrays contain thousands of different probe sequences represented on their surface. These are designed in such a way that potential cross-hybridization reacti...
Paolo Uva, Emanuele de Rinaldis
BMCBI
2008
211views more  BMCBI 2008»
15 years 6 months ago
CPSP-tools - Exact and complete algorithms for high-throughput 3D lattice protein studies
Background: The principles of protein folding and evolution pose problems of very high inherent complexity. Often these problems are tackled using simplified protein models, e.g. ...
Martin Mann, Sebastian Will, Rolf Backofen
ENVSOFT
2008
106views more  ENVSOFT 2008»
15 years 6 months ago
Analysis of self-describing gridded geoscience data with netCDF Operators (NCO)
1 The netCDF Operator (NCO) software facilitates manipulation and analysis of gridded2 geoscience data stored in the self-describing netCDF format. NCO is optimized to efficiently3...
Charles S. Zender
BMCBI
2006
179views more  BMCBI 2006»
15 years 6 months ago
Multiscale Hy3S: Hybrid stochastic simulation for supercomputers
Background: Stochastic simulation has become a useful tool to both study natural biological systems and design new synthetic ones. By capturing the intrinsic molecular fluctuation...
Howard Salis, Vassilios Sotiropoulos, Yiannis N. K...
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