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» Efficient Discovery of Confounders in Large Data Sets
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VIS
2005
IEEE
204views Visualization» more  VIS 2005»
14 years 10 months ago
Differential Protein Expression Analysis via Liquid-Chromatography/Mass-Spectrometry Data Visualization
Differential protein expression analysis is one of the main challenges in proteomics. It denotes the search for proteins, whose encoding genes are differentially expressed under a...
Lars Linsen, Julia Löcherbach, Matthias Berth...
BMCBI
2010
158views more  BMCBI 2010»
13 years 9 months ago
A Bayesian network approach to feature selection in mass spectrometry data
Background: Time-of-flight mass spectrometry (TOF-MS) has the potential to provide non-invasive, high-throughput screening for cancers and other serious diseases via detection of ...
Karl W. Kuschner, Dariya I. Malyarenko, William E....
SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
14 years 9 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
BMCBI
2008
114views more  BMCBI 2008»
13 years 9 months ago
Visualizing and clustering high throughput sub-cellular localization imaging
Background: The expansion of automatic imaging technologies has created a need to be able to efficiently compare and review large sets of image data. To enable comparisons of imag...
Nicholas A. Hamilton, Rohan D. Teasdale
UAI
2004
13 years 10 months ago
Recovering Articulated Object Models from 3D Range Data
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang,...