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BMCBI
2004
115views more  BMCBI 2004»
15 years 1 months ago
Quantifying the relationship between co-expression, co-regulation and gene function
Background: It is thought that genes with similar patterns of mRNA expression and genes with similar functions are likely to be regulated via the same mechanisms. It has been diff...
Dominic J. Allocco, Isaac S. Kohane, Atul J. Butte
ISMIS
2005
Springer
15 years 7 months ago
Towards Ad-Hoc Rule Semantics for Gene Expression Data
The notion of rules is very popular and appears in different flavors, for example as association rules in data mining or as functional (or multivalued) dependencies in databases. ...
Marie Agier, Jean-Marc Petit, Einoshin Suzuki
BMCBI
2004
158views more  BMCBI 2004»
15 years 1 months ago
A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Si...
BIOSYSTEMS
2008
75views more  BIOSYSTEMS 2008»
15 years 2 months ago
Using matrix of thresholding partial correlation coefficients to infer regulatory network
DNA arrays measure the expression levels for thousands of genes simultaneously under different conditions. These measurements reflect many aspects of the underlying biological pro...
Lide Han, Jun Zhu
JMLR
2010
159views more  JMLR 2010»
14 years 8 months ago
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
Nikolai Slavov