Modeling Microarray Data: Interpreting and communicating the biological results
Various statistical models have been proposed for detecting differential gene expression in data from microarray experiments. Given such detection, we are usually interested in describing the differential expression patterns. Due to the large number of genes that are typically analysed in microarray...
Main Authors: | Pittelkow Y. E., Wilson S. R. |
---|---|
Format: | Article |
Language: | English |
Published: |
De Gruyter
2006-12-01
|
Series: | Journal of Integrative Bioinformatics |
Online Access: | https://doi.org/10.1515/jib-2006-29 |
Similar Items
-
Allergenius, an expert system for the interpretation of allergen microarray results
by: Giovanni Melioli, et al.
Published: (2014-01-01) -
Systematic interpretation of microarray data using experiment annotations
by: Frohme Marcus, et al.
Published: (2006-12-01) -
Importance of biological variation data of analytes in interpretation of laboratory results
by: Ozlem Goruroglu Ozturk, et al.
Published: (2013-04-01) -
Statistical significance and biological relevance of microarray data clustering
by: Guo, Junhai
Published: (2008) -
Combining Affymetrix microarray results
by: Doerge RW, et al.
Published: (2005-03-01)