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» Classification of gene expression data using fuzzy logic
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BMCBI
2008
171views more  BMCBI 2008»
13 years 7 months ago
Fuzzy association rules for biological data analysis: A case study on yeast
Background: Last years' mapping of diverse genomes has generated huge amounts of biological data which are currently dispersed through many databases. Integration of the info...
Francisco J. Lopez, Armando Blanco, Fernando Garci...
DFG
2007
Springer
14 years 1 months ago
PointCloudXplore 2: Visual Exploration of 3D Gene Expression
: To better understand how developmental regulatory networks are defined in the genome sequence, the Berkeley Drosophila Transcription Network Project (BDNTP) has developed a suit...
Oliver Rübel, Gunther H. Weber, Min-Yu Huang,...
BMCBI
2010
97views more  BMCBI 2010»
13 years 7 months ago
Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach
Background: For heterogeneous tissues, such as blood, measurements of gene expression are confounded by relative proportions of cell types involved. Conclusions have to rely on es...
Dirk Repsilber, Sabine Kern, Anna Telaar, Gerhard ...
BMCBI
2006
155views more  BMCBI 2006»
13 years 7 months ago
Analysis of promoter regions of co-expressed genes identified by microarray analysis
Background: The use of global gene expression profiling to identify sets of genes with similar expression patterns is rapidly becoming a widespread approach for understanding biol...
Srinivas Veerla, Mattias Höglund
BMCBI
2004
87views more  BMCBI 2004»
13 years 7 months ago
Selection of informative clusters from hierarchical cluster tree with gene classes
Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...
Petri Törönen