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» Microarray data mining with visual programming
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CHI
2003
ACM
14 years 6 months ago
Fusion: interactive coordination of diverse data, visualizations, and mining algorithms
Fusion is a web-based system that enables end-users to rapidly and dynamically construct personalized visualization workspaces without programming. Users first use advanced data s...
Chris North, Nathan Conklin, Kiran Indukuri, Varun...
GECCO
2007
Springer
197views Optimization» more  GECCO 2007»
13 years 12 months ago
Computational intelligence techniques: a study of scleroderma skin disease
This paper presents an analysis of microarray gene expression data from patients with and without scleroderma skin disease using computational intelligence and visual data mining ...
Julio J. Valdés, Alan J. Barton
BMCBI
2008
148views more  BMCBI 2008»
13 years 5 months ago
Automating dChip: toward reproducible sharing of microarray data analysis
Background: During the past decade, many software packages have been developed for analysis and visualization of various types of microarrays. We have developed and maintained the...
Cheng Li
PKDD
2004
Springer
324views Data Mining» more  PKDD 2004»
13 years 11 months ago
Orange: From Experimental Machine Learning to Interactive Data Mining
Abstract. Orange (www.ailab.si/orange) is a suite for machine learning and data mining. It can be used though scripting in Python or with visual programming in Orange Canvas using ...
Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk
BMCBI
2005
101views more  BMCBI 2005»
13 years 5 months ago
MASQOT: a method for cDNA microarray spot quality control
Background: cDNA microarray technology has emerged as a major player in the parallel detection of biomolecules, but still suffers from fundamental technical problems. Identifying ...
Max Bylesjö, Daniel Eriksson, Andreas Sjö...