BMCBI
2006
13 years 4 months ago
2006
Background: Two-dimensional data colourings are an effective medium by which to represent three-dimensional data in two dimensions. Such "color-grid" representations hav...
FGCS
2008
13 years 4 months ago
2008
The development of many complex simulation applications requires collaborative effort from researchers with different domain knowledge and expertise, possibly at different locatio...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
We present an approach to semi-supervised learning based on an exponential family characterization. Our approach generalizes previous work on coupled priors for hybrid generative/...
CGF
2010
13 years 4 months ago
2010
Molecular dynamics simulations are a principal tool for studying molecular systems. Such simulations are used to investigate molecular structure, dynamics, and thermodynamical pro...
BMCBI
2008
13 years 4 months ago
2008
Background: With the advent of high throughput biotechnology data acquisition platforms such as micro arrays, SNP chips and mass spectrometers, data sets with many more variables ...
BMCBI
2008
13 years 4 months ago
2008
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...
BMCBI
2008
13 years 4 months ago
2008
Background: Liquid chromatography coupled to mass spectrometry (LC-MS) has become a prominent tool for the analysis of complex proteomics and metabolomics samples. In many applica...
BMCBI
2008
13 years 4 months ago
2008
Background: Correctly merged data sets that have been independently genotyped can increase statistical power in linkage and association studies. However, alleles from microsatelli...
BMCBI
2008
13 years 4 months ago
2008
Background: The Golden Spike data set has been used to validate a number of methods for summarizing Affymetrix data sets, sometimes with seemingly contradictory results. Much less...
BMCBI
2008
13 years 4 months ago
2008
Background: Testing for selection is becoming one of the most important steps in the analysis of multilocus population genetics data sets. Existing applications are difficult to u...