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» Finding Groups in Data: Cluster Analysis with Ants
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KDD
2003
ACM
142views Data Mining» more  KDD 2003»
16 years 4 days ago
Mining phenotypes and informative genes from gene expression data
Mining microarray gene expression data is an important research topic in bioinformatics with broad applications. While most of the previous studies focus on clustering either gene...
Chun Tang, Aidong Zhang, Jian Pei
107
Voted
MICCAI
2008
Springer
16 years 27 days ago
Discovering Structure in the Space of Activation Profiles in fMRI
We present a method for discovering patterns of activation observed through fMRI in experiments with multiple stimuli/tasks. We introduce an explicit parameterization for the profi...
Danial Lashkari, Ed Vul, Nancy Kanwisher, Polin...
94
Voted
BMCBI
2008
148views more  BMCBI 2008»
14 years 12 months ago
Discovering biclusters in gene expression data based on high-dimensional linear geometries
Background: In DNA microarray experiments, discovering groups of genes that share similar transcriptional characteristics is instrumental in functional annotation, tissue classifi...
Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan
HICSS
2006
IEEE
133views Biometrics» more  HICSS 2006»
15 years 5 months ago
Being Literate with Large Document Collections: Observational Studies and Cost Structure Tradeoffs
How do people work with large document collections? We studied the effects of different kinds of analysis tools on the behavior of people doing rapid large-volume data assessment,...
Daniel M. Russell, Malcolm Slaney, Yan Qu, Mave Ho...
JUCS
2010
135views more  JUCS 2010»
14 years 10 months ago
Web Context Classification Based on Information Quality Factors
: The fact that the World Wide Web is being used for various purposes also implies that users may have various information quality factors to consider according to their current co...
Jinhyuk Choi, Geehyuk Lee, Junghoon Moon