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» Mining Concepts from Large SAGE Gene Expression Matrices
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KDID
2003
91views Database» more  KDID 2003»
13 years 6 months ago
Mining Concepts from Large SAGE Gene Expression Matrices
François Rioult, Céline Robardet, Sy...
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...
PARMA
2004
136views Database» more  PARMA 2004»
13 years 6 months ago
Using Classification and Visualization on Pattern Databases for Gene Expression Data Analysis
Abstract. We are designing new data mining techniques on gene expression data, more precisely inductive querying techniques that extract a priori interesting bi-sets, i.e., sets of...
Céline Robardet, Ruggero G. Pensa, Jé...
BMCBI
2010
144views more  BMCBI 2010»
13 years 5 months ago
Identifying overrepresented concepts in gene lists from literature: a statistical approach based on Poisson mixture model
Background: Large-scale genomic studies often identify large gene lists, for example, the genes sharing the same expression patterns. The interpretation of these gene lists is gen...
Xin He, Moushumi Sen Sarma, Xu Ling, Brant W. Chee...
BMCBI
2008
125views more  BMCBI 2008»
13 years 5 months ago
Exploration and visualization of gene expression with neuroanatomy in the adult mouse brain
Background: Spatially mapped large scale gene expression databases enable quantitative comparison of data measurements across genes, anatomy, and phenotype. In most ongoing effort...
Christopher Lau, Lydia Ng, Carol Thompson, Sayan D...