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» Unfolding of Microarray Data
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ITA
2006
167views Communications» more  ITA 2006»
13 years 7 months ago
Characterization of lung tumor subtypes through gene expression cluster validity assessment
The problem of assessing the reliability of clusters patients identified by clustering algorithms is crucial to estimate the significance of subclasses of diseases detectable at b...
Giorgio Valentini, Francesca Ruffino
BMCBI
2011
13 years 2 months ago
CNV-WebStore: Online CNV Analysis, Storage and Interpretation
Background: Microarray technology allows the analysis of genomic aberrations at an ever increasing resolution, making functional interpretation of these vast amounts of data the m...
Geert Vandeweyer, Edwin Reyniers, Wim Wuyts, Liesb...
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
14 years 9 months ago
A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
Feng Pan, Xiang Zhang, Wei Wang 0010
CVPR
2007
IEEE
14 years 9 months ago
The Hierarchical Isometric Self-Organizing Map for Manifold Representation
We present an algorithm, Hierarchical ISOmetric SelfOrganizing Map (H-ISOSOM), for a concise, organized manifold representation of complex, non-linear, large scale, high-dimension...
Haiying Guan, Matthew Turk
VISUALIZATION
2002
IEEE
14 years 21 days ago
Rendering The First Star In The Universe - A Case Study
For quantitative examination of phenomena that simultaneously occur on very different spatial and temporal scales, adaptive hierarchical schemes are required. A special numerical ...
Ralf Kähler, Donna Cox, Robert Patterson, Stu...