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» Towards knowledge-based gene expression data mining
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118
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ISMB
2000
15 years 4 months ago
Mining for Putative Regulatory Elements in the Yeast Genome Using Gene Expression Data
We have developed a set of methods and tools for automatic discovery of putative regulatory signals in genome sequences. The analysis pipeline consists of gene expression data clu...
Jaak Vilo, Alvis Brazma, Inge Jonassen, Alan J. Ro...
134
Voted
BIODATAMINING
2008
178views more  BIODATAMINING 2008»
15 years 2 months ago
Clustering-based approaches to SAGE data mining
Serial analysis of gene expression (SAGE) is one of the most powerful tools for global gene expression profiling. It has led to several biological discoveries and biomedical appli...
Haiying Wang, Huiru Zheng, Francisco Azuaje
146
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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 3 months ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...
92
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GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 9 months ago
Clustering gene expression data via mining ensembles of classification rules evolved using moses
Moshe Looks, Ben Goertzel, Lúcio de Souza C...