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» E-CAST: A Data Mining Algorithm for Gene Expression Data
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BMCBI
2010
178views more  BMCBI 2010»
13 years 8 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...
BMCBI
2007
179views more  BMCBI 2007»
13 years 8 months ago
Gene selection with multiple ordering criteria
Background: A microarray study may select different differentially expressed gene sets because of different selection criteria. For example, the fold-change and p-value are two co...
James J. Chen, Chen-An Tsai, ShengLi Tzeng, Chun-H...
BMCBI
2006
100views more  BMCBI 2006»
13 years 7 months ago
Empirical array quality weights in the analysis of microarray data
Background: Assessment of array quality is an essential step in the analysis of data from microarray experiments. Once detected, less reliable arrays are typically excluded or &qu...
Matthew E. Ritchie, Dileepa S. Diyagama, Jody Neil...
BIS
2010
159views Business» more  BIS 2010»
13 years 2 months ago
Comparing Intended and Real Usage in Web Portal: Temporal Logic and Data Mining
Nowadays the software systems, including web portals, are developed from a priori assumptions about how the system will be used. However, frequently these assumptions hold only par...
Jérémy Besson, Ieva Mitasiunaite, Au...
ICDM
2005
IEEE
142views Data Mining» more  ICDM 2005»
14 years 1 months ago
Shortest-Path Kernels on Graphs
Data mining algorithms are facing the challenge to deal with an increasing number of complex objects. For graph data, a whole toolbox of data mining algorithms becomes available b...
Karsten M. Borgwardt, Hans-Peter Kriegel