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» Finding Groups in Data: Cluster Analysis with Ants
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BMCBI
2007
133views more  BMCBI 2007»
14 years 11 months ago
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
PKDD
2000
Springer
107views Data Mining» more  PKDD 2000»
15 years 3 months ago
Expert Constrained Clustering: A Symbolic Approach
Abstract. A new constrained model is discussed as a way of incorporating efficiently a priori expert knowledge into a clustering problem of a given individual set. The first innova...
Fabrice Rossi, Frédérick Vautrain
BMCBI
2010
109views more  BMCBI 2010»
14 years 12 months ago
ParallABEL: an R library for generalized parallelization of genome-wide association studies
Background: Genome-Wide Association (GWA) analysis is a powerful method for identifying loci associated with complex traits and drug response. Parts of GWA analyses, especially th...
Unitsa Sangket, Surakameth Mahasirimongkol, Wasun ...
CORR
2006
Springer
132views Education» more  CORR 2006»
14 years 12 months ago
Navigating multilingual news collections using automatically extracted information
We are presenting a text analysis tool set that allows analysts in various fields to sieve through large collections of multilingual news items quickly and to find information that...
Ralf Steinberger, Bruno Pouliquen, Camelia Ignat
ICDM
2008
IEEE
155views Data Mining» more  ICDM 2008»
15 years 6 months ago
Organic Pie Charts
We present a new visualization of the distance and cluster structure of high dimensional data. It is particularly well suited for analysis tasks of users unfamiliar with complex d...
Fabian Mörchen