1240 search results - page 17 / 248 » Applying Memetic Algorithms to the Analysis of Microarray Da... |
BMCBI
2006
13 years 7 months ago
2006
Background: The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust ex...
BMCBI
2008
13 years 7 months ago
2008
Background: High-throughput methods that allow for measuring the expression of thousands of genes or proteins simultaneously have opened new avenues for studying biochemical proce...
JBI
2004
13 years 8 months ago
2004
Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus s...
JCB
2002
13 years 7 months ago
2002
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
BMCBI
2008
13 years 7 months ago
2008
Background: Microarray analysis is an important area of bioinformatics. In the last few years, biclustering has become one of the most popular methods for classifying data from mi...