97 search results - page 9 / 20 » Using Machine Learning to Design and Interpret Gene-Expressi... |
BMCBI
2007
13 years 7 months ago
2007
Background: Gene expression is governed by complex networks, and differences in expression patterns between distinct biological conditions may therefore be complex and multivariat...
BMCBI
2007
13 years 7 months ago
2007
Background: Elucidating biological networks between proteins appears nowadays as one of the most important challenges in systems biology. Computational approaches to this problem ...
BMCBI
2010
2010
The IronChip evaluation package: a package of perl modules for robust analysis of custom microarrays
13 years 7 months ago
Background: Gene expression studies greatly contribute to our understanding of complex relationships in gene regulatory networks. However, the complexity of array design, producti...
BMCBI
2006
13 years 7 months ago
2006
Background: Various statistical and machine learning methods have been successfully applied to the classification of DNA microarray data. Simple instance-based classifiers such as...
BMCBI
2006
13 years 7 months ago
2006
Background: As numerous diseases involve errors in signal transduction, modern therapeutics often target proteins involved in cellular signaling. Interpretation of the activity of...