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BMCBI
2005
112views more  BMCBI 2005»
13 years 5 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
TMI
2002
248views more  TMI 2002»
13 years 4 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
TVCG
2010
165views more  TVCG 2010»
13 years 3 months ago
A Visual Backchannel for Large-Scale Events
—We introduce the concept of a Visual Backchannel as a novel way of following and exploring online conversations about large-scale events. Microblogging communities, such as Twit...
Marian Dörk, Daniel M. Gruen, Carey Williamso...
NAR
2011
234views Computer Vision» more  NAR 2011»
12 years 8 months ago
The UCSC cancer genomics browser: update 2011
The UCSC Cancer Genomics Browser (https:// genome-cancer.ucsc.edu) comprises a suite of web-based tools to integrate, visualize and analyze cancer genomics and clinical data. The ...
J. Zachary Sanborn, Stephen C. Benz, Brian Craft, ...
TVCG
2012
213views Hardware» more  TVCG 2012»
11 years 7 months ago
Mesh-Driven Vector Field Clustering and Visualization: An Image-Based Approach
—Vector field visualization techniques have evolved very rapidly over the last two decades, however, visualizing vector fields on complex boundary surfaces from computational ...
Zhenmin Peng, Edward Grundy, Robert S. Laramee, Gu...