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BMEI
2008
IEEE
15 years 8 months ago
Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...
BMCBI
2007
182views more  BMCBI 2007»
15 years 6 months ago
Additive risk survival model with microarray data
Background: Microarray techniques survey gene expressions on a global scale. Extensive biomedical studies have been designed to discover subsets of genes that are associated with ...
Shuangge Ma, Jian Huang
ICDM
2006
IEEE
98views Data Mining» more  ICDM 2006»
16 years 18 days ago
What is the Dimension of Your Binary Data?
Many 0/1 datasets have a very large number of variables; however, they are sparse and the dependency structure of the variables is simpler than the number of variables would sugge...
Nikolaj Tatti, Taneli Mielikäinen, Aristides ...
ICSE
2010
IEEE-ACM
15 years 11 months ago
A methodology to support load test analysis
Performance analysts rely heavily on load testing to measure the performance of their applications under a given load. During the load test, analyst strictly monitor and record th...
Haroon Malik
KDD
2009
ACM
153views Data Mining» more  KDD 2009»
16 years 7 months ago
Predicting bounce rates in sponsored search advertisements
This paper explores an important and relatively unstudied quality measure of a sponsored search advertisement: bounce rate. The bounce rate of an ad can be informally defined as t...
D. Sculley, Robert G. Malkin, Sugato Basu, Roberto...