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» Hierarchical exploration of large multivariate data sets
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RECOMB
2009
Springer
15 years 10 months ago
Spatial Clustering of Multivariate Genomic and Epigenomic Information
The combination of fully sequence genomes and new technologies for high density arrays and ultra-rapid sequencing enables the mapping of generegulatory and epigenetics marks on a g...
Rami Jaschek, Amos Tanay
BMCBI
2010
126views more  BMCBI 2010»
14 years 9 months ago
GeneBrowser 2: an application to explore and identify common biological traits in a set of genes
Background: The development of high-throughput laboratory techniques created a demand for computer-assisted result analysis tools. Many of these techniques return lists of genes w...
Joel Arrais, João Fernandes, João Pe...
IV
2007
IEEE
152views Visualization» more  IV 2007»
15 years 3 months ago
Geovisualization and synergies from InfoVis and Visual Analytics
Geovisualization (GeoViz) is an intrinsically complex process. The analyst needs to look at data from various perspectives and at various scales, from “seeing the whole” to ...
Gennady L. Andrienko, Mikael Jern, Jason Dykes, Sa...
FGR
2004
IEEE
133views Biometrics» more  FGR 2004»
15 years 1 months ago
Finding Temporal Patterns by Data Decomposition
We present a new unsupervised learning technique for the discovery of temporal clusters in large data sets. Our method performs hierarchical decomposition of the data to find stru...
David C. Minnen, Christopher Richard Wren
CIVR
2007
Springer
192views Image Analysis» more  CIVR 2007»
15 years 3 months ago
Texture retrieval based on a non-parametric measure for multivariate distributions
In the present study, an efficient strategy for retrieving texture images from large texture databases is introduced and studied within a distributional-statistical framework. Our...
Vasileios K. Pothos, Christos Theoharatos, George ...