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» Informative sampling for large unbalanced data sets
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140
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BMCBI
2010
154views more  BMCBI 2010»
15 years 3 months ago
EnvMine: A text-mining system for the automatic extraction of contextual information
Background: For ecological studies, it is crucial to count on adequate descriptions of the environments and samples being studied. Such a description must be done in terms of thei...
Javier Tamames, Victor de Lorenzo
APVIS
2008
15 years 4 months ago
Interactive Visual Analysis of the NSF Funding Information
This paper presents an interactive visualization toolkit for navigating and analyzing the National Science Foundation (NSF) funding information. Our design builds upon the treemap...
Shixia Liu, Nan Cao, Hao Lv
APVIS
2010
15 years 4 months ago
GMap: Visualizing graphs and clusters as maps
Information visualization is essential in making sense out of large data sets. Often, high-dimensional data are visualized as a collection of points in 2-dimensional space through...
Emden R. Gansner, Yifan Hu, Stephen G. Kobourov
DAC
2002
ACM
16 years 4 months ago
Hole analysis for functional coverage data
One of the main goals of coverage tools is to provide the user with informative presentation of coverage information. Specifically, information on large, cohesive sets of uncovere...
Oded Lachish, Eitan Marcus, Shmuel Ur, Avi Ziv
103
Voted
BMCBI
2006
88views more  BMCBI 2006»
15 years 3 months ago
A two-sample Bayesian t-test for microarray data
Background: Determining whether a gene is differentially expressed in two different samples remains an important statistical problem. Prior work in this area has featured the use ...
Richard J. Fox, Matthew W. Dimmic