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BMCBI
2007
157views more  BMCBI 2007»
13 years 6 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
BMCBI
2007
131views more  BMCBI 2007»
13 years 6 months ago
FUNC: a package for detecting significant associations between gene sets and ontological annotations
Background: Genome-wide expression, sequence and association studies typically yield large sets of gene candidates, which must then be further analysed and interpreted. Informatio...
Kay Prüfer, Bjoern Muetzel, Hong Hai Do, Gunt...
ALT
2006
Springer
14 years 3 months ago
Active Learning in the Non-realizable Case
Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
Matti Kääriäinen
TSP
2008
173views more  TSP 2008»
13 years 6 months ago
Gaussian Mixture Modeling by Exploiting the Mahalanobis Distance
In this paper, the expectation-maximization (EM) algorithm for Gaussian mixture modeling is improved via three statistical tests. The first test is a multivariate normality criteri...
Dimitrios Ververidis, Constantine Kotropoulos
BMCBI
2006
108views more  BMCBI 2006»
13 years 6 months ago
Promoter prediction and annotation of microbial genomes based on DNA sequence and structural responses to superhelical stress
Background: In our previous studies, we found that the sites in prokaryotic genomes which are most susceptible to duplex destabilization under the negative superhelical stresses t...
Huiquan Wang, Craig J. Benham