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109
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BMCBI
2010
170views more  BMCBI 2010»
15 years 28 days ago
Integrative analysis of gene expression and copy number alterations using canonical correlation analysis
Background: With the rapid development of new genetic measurement methods, several types of genetic alterations can be quantified in a high-throughput manner. While the initial fo...
Charlotte Soneson, Henrik Lilljebjörn, Thoas ...
101
Voted
KDD
2003
ACM
160views Data Mining» more  KDD 2003»
16 years 1 months ago
Playing hide-and-seek with correlations
We present a method for very high-dimensional correlation analysis. The method relies equally on rigorous search strategies and on human interaction. At each step, the method cons...
Chris Jermaine
98
Voted
ICDM
2006
IEEE
95views Data Mining» more  ICDM 2006»
15 years 6 months ago
TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases
Recently, there has been considerable interest in computing strongly correlated pairs in large databases. Most previous studies require the specification of a minimum correlation...
Hui Xiong, Mark Brodie, Sheng Ma
104
Voted
APGV
2010
ACM
266views Visualization» more  APGV 2010»
15 years 4 months ago
Horizon estimation: perceptual and computational experiments
The human visual system is able to quickly and robustly infer a wealth of scene information – the scene "gist" – already after 100 milliseconds of image presentation...
Christian Herdtweck, Christian Wallraven
91
Voted
INFFUS
2008
119views more  INFFUS 2008»
15 years 24 days ago
A scalable correlation aware aggregation strategy for wireless sensor networks
Sensors-to-sink data in wireless sensor networks (WSNs) are typically correlated with each other. Exploiting such correlation when performing data aggregation can result in consid...
Yujie Zhu, Ramanuja Vedantham, Seung-Jong Park, Ra...