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» Detecting Flaws and Intruders with Visual Data Analysis
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IDEAL
2005
Springer
14 years 1 months ago
Evolving Neural Networks for the Classification of Malignancy Associated Changes
Malignancy Associated Changes are subtle changes to the nuclear texture of visually normal cells in the vicinity of a cancerous or precancerous lesion. We describe a classifier for...
Jennifer Hallinan
TMI
2010
165views more  TMI 2010»
13 years 6 months ago
Spatio-Temporal Data Fusion for 3D+T Image Reconstruction in Cerebral Angiography
—This paper provides a framework for generating high resolution time sequences of 3D images that show the dynamics of cerebral blood flow. These sequences have the potential to ...
Andrew Copeland, Rami Mangoubi, Mukund N. Desai, S...
BMCBI
2008
144views more  BMCBI 2008»
13 years 8 months ago
WGCNA: an R package for weighted correlation network analysis
Background: Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method ...
Peter Langfelder, Steve Horvath
ISM
2005
IEEE
159views Multimedia» more  ISM 2005»
14 years 2 months ago
Avatar-centric Risk Evaluation
Hazard detection and prevention of natural and manmade disasters at critical civil infrastructure is becoming increasingly important. Recent events, such as earthquakes and terror...
Maria-Cruz Villa-Uriol, Falko Kuester, Oscar Garc&...
BMCBI
2007
173views more  BMCBI 2007»
13 years 8 months ago
Ringo - an R/Bioconductor package for analyzing ChIP-chip readouts
Background: Chromatin immunoprecipitation combined with DNA microarrays (ChIP-chip) is a high-throughput assay for DNA-protein-binding or post-translational chromatin/histone modi...
Joern Toedling, Oleg Sklyar, Tammo Krueger, Jenny ...