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» Comparative Analysis of Multidimensional, Quantitative Data
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BMCBI
2010
164views more  BMCBI 2010»
14 years 6 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
15 years 3 months ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle
VLDB
2007
ACM
260views Database» more  VLDB 2007»
15 years 9 months ago
Approaching the Skyline in Z Order
Given a set of multidimensional data points, skyline query retrieves a set of data points that are not dominated by any other points. This query is useful for multi-preference ana...
Ken C. K. Lee, Baihua Zheng, Huajing Li, Wang-Chie...
BMCBI
2007
173views more  BMCBI 2007»
14 years 9 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 ...
MICCAI
2008
Springer
15 years 10 months ago
Assessment of Reliability of Multi-site Neuroimaging Via Traveling Phantom Study
Abstract. This paper describes a framework for quantitative analysis of neuroimaging data of traveling human phantoms used for cross-site validation. We focus on the analysis of ma...
Sylvain Gouttard, Martin Styner, Marcel Prastawa...