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» Discovering Interesting Subsets Using Statistical Analysis
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SP
2008
IEEE
134views Security Privacy» more  SP 2008»
13 years 5 months ago
Discover gene specific local co-regulations from time-course gene expression data
Discovering gene co-regulatory relationships is one of most important research in DNA microarray data analysis. The problem of gene specific co-regulation discovery is to, for a p...
Ji Zhang, Qigang Gao, Hai H. Wang
IV
2008
IEEE
94views Visualization» more  IV 2008»
13 years 11 months ago
Visualizing Statistical Properties of Smoothly Brushed Data Subsets
In many application fields, the statistical properties of data sets are of great interest for data analysts. Since local variations can occur especially in large data sets, it is...
Andrea Unger, Philipp Muigg, Helmut Doleisch, Heid...
BMCBI
2006
163views more  BMCBI 2006»
13 years 5 months ago
Ensemble attribute profile clustering: discovering and characterizing groups of genes with similar patterns of biological featur
Background: Ensemble attribute profile clustering is a novel, text-based strategy for analyzing a userdefined list of genes and/or proteins. The strategy exploits annotation data ...
J. R. Semeiks, A. Rizki, Mina J. Bissell, I. Saira...
CORR
2010
Springer
114views Education» more  CORR 2010»
13 years 3 months ago
Efficiently Discovering Hammock Paths from Induced Similarity Networks
ty networks are important abstractions in many information management applications such as recommender systems, corpora analysis, and medical informatics. For instance, in a recom...
M. Shahriar Hossain, Michael Narayan, Naren Ramakr...
ISPASS
2008
IEEE
13 years 11 months ago
Independent Component Analysis and Evolutionary Algorithms for Building Representative Benchmark Subsets
— This work addresses the problem of building representative subsets of benchmarks from an original large set of benchmarks, using statistical analysis techniques. The subsets sh...
Vassilios N. Christopoulos, David J. Lilja, Paul R...