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» Semantic Mining and Analysis of Gene Expression Data
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FUIN
2007
109views more  FUIN 2007»
13 years 4 months ago
Unifying Framework for Rule Semantics: Application to Gene Expression Data
Abstract. The notion of rules is very popular and appears in different flavors, for example as association rules in data mining or as functional dependencies in databases. Their s...
Marie Agier, Jean-Marc Petit, Einoshin Suzuki
BMCBI
2005
153views more  BMCBI 2005»
13 years 4 months ago
Mining published lists of cancer related microarray experiments: Identification of a gene expression signature having a critical
Background: Routine application of gene expression microarray technology is rapidly producing large amounts of data that necessitate new approaches of analysis. The analysis of a ...
Giacomo Finocchiaro, Francesco Mancuso, Heiko M&uu...
BMCBI
2006
183views more  BMCBI 2006»
13 years 5 months ago
Mining gene expression data by interpreting principal components
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
Joseph C. Roden, Brandon W. King, Diane Trout, Ali...
BICOB
2010
Springer
13 years 5 months ago
Integrative Biomarker Discovery for Breast Cancer Metastasis from Gene Expression and Protein Interaction Data Using Error-toler
Biomarker discovery for complex diseases is a challenging problem. Most of the existing approaches identify individual genes as disease markers, thereby missing the interactions a...
Rohit Gupta, Smita Agrawal, Navneet Rao, Ze Tian, ...
ISMIS
2005
Springer
13 years 10 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