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ICANN
2007
Springer
14 years 1 months ago
Structure Learning with Nonparametric Decomposable Models
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Anton Schwaighofer, Mathäus Dejori, Volker Tr...
EVOW
2006
Springer
13 years 11 months ago
Hierarchical Clustering, Languages and Cancer
In this paper, we introduce a novel objective function for the hierarchical clustering of data from distance matrices, a very relevant task in Bioinformatics. To test the robustnes...
Pritha Mahata, Wagner Costa, Carlos Cotta, Pablo M...
BMCBI
2008
126views more  BMCBI 2008»
13 years 7 months ago
NITPICK: peak identification for mass spectrometry data
Background: The reliable extraction of features from mass spectra is a fundamental step in the automated analysis of proteomic mass spectrometry (MS) experiments. Results: This co...
Bernhard Y. Renard, Marc Kirchner, Hanno Steen, Ju...
BMCBI
2008
131views more  BMCBI 2008»
13 years 7 months ago
Major copy proportion analysis of tumor samples using SNP arrays
Background: Single nucleotide polymorphisms (SNPs) are the most common genetic variations in the human genome and are useful as genomic markers. Oligonucleotide SNP microarrays ha...
Cheng Li, Rameen Beroukhim, Barbara A. Weir, Wendy...
BMCBI
2010
161views more  BMCBI 2010»
13 years 7 months ago
CGHpower: exploring sample size calculations for chromosomal copy number experiments
Background: Determining a suitable sample size is an important step in the planning of microarray experiments. Increasing the number of arrays gives more statistical power, but ad...
Ilari Scheinin, Jose A. Ferreira, Sakari Knuutila,...