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» Computing Minimal Diagnoses with Critical Set Algorithms
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RECOMB
2010
Springer
14 years 11 months ago
An Algorithmic Framework for Predicting Side-Effects of Drugs
Abstract. One of the critical stages in drug development is the identification of potential side effects for promising drug leads. Large scale clinical experiments aimed at discove...
Nir Atias, Roded Sharan
JUCS
2006
95views more  JUCS 2006»
14 years 9 months ago
POCA : A User Distributions Algorithm in Enterprise Systems with Clustering
Abstract: As enterprises worldwide race to improve real-time management to improve productivity, customer services and flexibility, huge resources have been invested into enterpris...
Ping-Yu Hsu, Ping-Ho Ting
PVLDB
2010
118views more  PVLDB 2010»
14 years 8 months ago
Ten Thousand SQLs: Parallel Keyword Queries Computing
Keyword search in relational databases has been extensively studied. Given a relational database, a keyword query finds a set of interconnected tuple structures connected by fore...
Lu Qin, Jefferey Yu, Lijun Chang
BMCBI
2010
105views more  BMCBI 2010»
14 years 10 months ago
Effects of scanning sensitivity and multiple scan algorithms on microarray data quality
Background: Maximizing the utility of DNA microarray data requires optimization of data acquisition through selection of an appropriate scanner setting. To increase the amount of ...
Andrew Williams, Errol M. Thomson
PAMI
2006
134views more  PAMI 2006»
14 years 9 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee