84 search results - page 9 / 17 » Clustering gene expression data in SQL using locally adaptiv... |
BMCBI
2007
13 years 6 months ago
2007
Background: The underlying goal of microarray experiments is to identify gene expression patterns across different experimental conditions. Genes that are contained in a particula...
BMCBI
2008
13 years 6 months ago
2008
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
BMCBI
2010
13 years 4 months ago
2010
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
BMCBI
2008
13 years 6 months ago
2008
Background: Currently, clustering with some form of correlation coefficient as the gene similarity metric has become a popular method for profiling genomic data. The Pearson corre...
PR
2006
13 years 6 months ago
2006
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...