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182
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BMCBI
2007
194views more  BMCBI 2007»
15 years 4 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
139
Voted
BMCBI
2008
133views more  BMCBI 2008»
15 years 4 months ago
MS-DOCK: Accurate multiple conformation generator and rigid docking protocol for multi-step virtual ligand screening
Background: The number of protein targets with a known or predicted tri-dimensional structure and of drug-like chemical compounds is growing rapidly and so is the need for new the...
Nicolas Sauton, David Lagorce, Bruno O. Villoutrei...
148
Voted
BMCBI
2008
142views more  BMCBI 2008»
15 years 4 months ago
Identification of biomarkers for genotyping Aspergilli using non-linear methods for clustering and classification
Background: In the present investigation, we have used an exhaustive metabolite profiling approach to search for biomarkers in recombinant Aspergillus nidulans (mutants that produ...
Irene Kouskoumvekaki, Zhiyong Yang, Svava Ó...
BMCBI
2010
224views more  BMCBI 2010»
15 years 4 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
BMCBI
2010
110views more  BMCBI 2010»
15 years 4 months ago
GenHtr: a tool for comparative assessment of genetic heterogeneity in microbial genomes generated by massive short-read sequenci
Background: Microevolution is the study of short-term changes of alleles within a population and their effects on the phenotype of organisms. The result of the below-species-level...
GongXin Yu