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» E-CAST: A Data Mining Algorithm for Gene Expression Data
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BMCBI
2005
94views more  BMCBI 2005»
13 years 7 months ago
YANA - a software tool for analyzing flux modes, gene-expression and enzyme activities
Background: A number of algorithms for steady state analysis of metabolic networks have been developed over the years. Of these, Elementary Mode Analysis (EMA) has proven especial...
Roland Schwarz, Patrick Musch, Axel von Kamp, Bern...
BIODATAMINING
2008
96views more  BIODATAMINING 2008»
13 years 7 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo
PKDD
2005
Springer
123views Data Mining» more  PKDD 2005»
14 years 1 months ago
A Multi-metric Index for Euclidean and Periodic Matching
In many classification and data-mining applications the user does not know a priori which distance measure is the most appropriate for the task at hand without examining the produ...
Michail Vlachos, Zografoula Vagena, Vittorio Caste...
BMCBI
2006
114views more  BMCBI 2006»
13 years 7 months ago
PROMPT: a protein mapping and comparison tool
Background: Comparison of large protein datasets has become a standard task in bioinformatics. Typically researchers wish to know whether one group of proteins is significantly en...
Thorsten Schmidt, Dmitrij Frishman
KDD
2000
ACM
115views Data Mining» more  KDD 2000»
13 years 11 months ago
A framework for specifying explicit bias for revision of approximate information extraction rules
Information extraction is one of the most important techniques used in Text Mining. One of the main problems in building information extraction (IE) systems is that the knowledge ...
Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, ...