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» Clustering Genes Using Heterogeneous Data Sources
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DMIN
2006
122views Data Mining» more  DMIN 2006»
14 years 12 days ago
Clustering of Bi-Dimensional and Heterogeneous Time Series: Application to Social Sciences Data
We present an application of bi-dimensional and heterogeneous time series clustering in order to resolve a Social Sciences issue. The dataset is the result of a survey involving mo...
Rémi Gaudin, Sylvaine Barbier, Nicolas Nico...
BMCBI
2005
122views more  BMCBI 2005»
13 years 11 months ago
FACT - a framework for the functional interpretation of high-throughput experiments
Background: Interpreting the results of high-throughput experiments, such as those obtained from DNA-microarrays, is an often time-consuming task due to the high number of data-po...
Felix Kokocinski, Nicolas Delhomme, Gunnar Wrobel,...
GFKL
2005
Springer
141views Data Mining» more  GFKL 2005»
14 years 4 months ago
On External Indices for Mixtures: Validating Mixtures of Genes
Mixture models represent results of gene expression cluster analysis in a more natural way than ’hard’ partitions. This is also true for the representation of gene labels, such...
Ivan G. Costa, Alexander Schliep
BIBE
2007
IEEE
155views Bioinformatics» more  BIBE 2007»
14 years 5 months ago
Partial Mixture Model for Tight Clustering in Exploratory Gene Expression Analysis
Abstract—In this paper we demonstrate the inherent robustness of minimum distance estimator that makes it a potentially powerful tool for parameter estimation in gene expression ...
Yinyin Yuan, Chang-Tsun Li
KYOTODL
2000
122views more  KYOTODL 2000»
14 years 11 days ago
Federation Services for Heterogeneous Digital Libraries Accessing Cooperative and Non-Cooperative Sources
Today, bibliographical information is kept in a variety of digital libraries available on the Internet. The integration of bibliographical data is considered as one of the most im...
Martin Endig, Michael Höding, Gunter Saake, K...