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» Advances in constrained clustering
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KDD
2007
ACM
124views Data Mining» more  KDD 2007»
14 years 4 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
BMCBI
2007
112views more  BMCBI 2007»
13 years 10 months ago
Inferring biological functions and associated transcriptional regulators using gene set expression coherence analysis
Background: Gene clustering has been widely used to group genes with similar expression pattern in microarray data analysis. Subsequent enrichment analysis using predefined gene s...
Tae-Min Kim, Yeun-Jun Chung, Mun-Gan Rhyu, Myeong ...
BMCBI
2005
89views more  BMCBI 2005»
13 years 9 months ago
Theme discovery from gene lists for identification and viewing of multiple functional groups
Background: High throughput methods of the genome era produce vast amounts of data in the form of gene lists. These lists are large and difficult to interpret without advanced com...
Petri Pehkonen, Garry Wong, Petri Töröne...
ICIP
2006
IEEE
14 years 11 months ago
An Approach for Intersubject Analysis of 3D Brain Images Based on Conformal Geometry
Recent advances in imaging technologies, such as Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET) and Diffusion Tensor Imaging (DTI) have accelerated brain res...
Guangyu Zou, Jing Hua, Xianfeng Gu, Otto Muzik
GIS
2003
ACM
14 years 11 months ago
Computational data modeling for network-constrained moving objects
Advances in wireless communications, positioning technology, and other hardware technologies combine to enable a range of applications that use a mobile user's geo-spatial da...
Laurynas Speicys, Christian S. Jensen, Augustas Kl...