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» Hierarchical exploration of large multivariate data sets
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VISUALIZATION
1996
IEEE
15 years 1 months ago
Hierarchical and Parallelizable Direct Volume Rendering for Irregular and Multiple Grids
A general volume rendering technique is described that efficiently produces images of excellent quality from data defined over irregular grids having a wide variety of formats. Re...
Jane Wilhelms, Allen Van Gelder, Paul Tarantino, J...
BMCBI
2007
157views more  BMCBI 2007»
14 years 10 months ago
Impact of image segmentation on high-content screening data quality for SK-BR-3 cells
Background: High content screening (HCS) is a powerful method for the exploration of cellular signalling and morphology that is rapidly being adopted in cancer research. HCS uses ...
Andrew A. Hill, Peter LaPan, Yizheng Li, Steve Han...
BMCBI
2007
153views more  BMCBI 2007»
14 years 10 months ago
An exploration of alternative visualisations of the basic helix-loop-helix protein interaction network
Background: Alternative representations of biochemical networks emphasise different aspects of the data and contribute to the understanding of complex biological systems. In this ...
Brian J. Holden, John W. Pinney, Simon C. Lovell, ...
ICML
2010
IEEE
14 years 10 months ago
Deep networks for robust visual recognition
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
Yichuan Tang, Chris Eliasmith
BMCBI
2011
14 years 4 months ago
The PathOlogist: An Automated Tool for Pathway-Centric Analysis
Background: The PathOlogist is a new tool designed to transform large sets of gene expression data into quantitative descriptors of pathway-level behavior. The tool aims to provid...
Sharon I. Greenblum, Sol Efroni, Carl F. Schaefer,...