93 search results - page 12 / 19 » Minimum Entropy Clustering and Applications to Gene Expressi... |
ISBRA
2007
Springer
14 years 1 months ago
2007
Springer
Clustering has been one of the most popular approaches used in gene expression data analysis. A clustering method is typically used to partition genes according to their similarity...
BMCBI
2010
13 years 5 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 7 months ago
2008
Background: Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method ...
BMCBI
2007
13 years 7 months ago
2007
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
BMCBI
2008
13 years 7 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...