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DIS
2004
Springer
13 years 10 months ago
A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data
Abstract. One of the most exciting scientific challenges in functional genomics concerns the discovery of biologically relevant patterns from gene expression data. For instance, i...
Ruggero G. Pensa, Jérémy Besson, Jea...
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, ...
KDD
2004
ACM
314views Data Mining» more  KDD 2004»
14 years 5 months ago
Assessment of discretization techniques for relevant pattern discovery from gene expression data
In the domain of gene expression data analysis, various researchers have recently emphasized the promising application of pattern discovery techniques like association rule mining...
Ruggero G. Pensa, Claire Leschi, Jéré...
CINQ
2004
Springer
116views Database» more  CINQ 2004»
13 years 8 months ago
Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining
Abstract. One of the exciting scientific challenges in functional genomics concerns the discovery of biologically relevant patterns from gene expression data. For instance, it is e...
Ruggero G. Pensa, Jérémy Besson, C&e...
BMCBI
2006
100views more  BMCBI 2006»
13 years 5 months ago
Chromosomal patterns of gene expression from microarray data: methodology, validation and clinical relevance in gliomas
Background: Expression microarrays represent a powerful technique for the simultaneous investigation of thousands of genes. The evidence that genes are not randomly distributed in...
Federico E. Turkheimer, Federico Roncaroli, Benoit...