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» Efficient Discovery of Confounders in Large Data Sets
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SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
13 years 10 months ago
Proximity Tracking on Time-Evolving Bipartite Graphs
Given an author-conference network that evolves over time, which are the conferences that a given author is most closely related with, and how do they change over time? Large time...
Hanghang Tong, Spiros Papadimitriou, Philip S. Yu,...
BMCBI
2005
93views more  BMCBI 2005»
13 years 8 months ago
Identification of novel prognostic markers in cervical intraepithelial neoplasia using LDMAS (LOH Data Management and Analysis S
Background: Detection of Loss of Heterozygosity (LOH) is one of the most common molecular applications in the study of human diseases, in particular cancer. The technique is commo...
Rifat A. Hamoudi, Amina El-Hamidi, Ming-Qing Du
BMCBI
2004
124views more  BMCBI 2004»
13 years 8 months ago
Tests for finding complex patterns of differential expression in cancers: towards individualized medicine
Background: Microarray studies in cancer compare expression levels between two or more sample groups on thousands of genes. Data analysis follows a population-level approach (e.g....
James Lyons-Weiler, Satish Patel, Michael J. Becic...
FGCS
2006
144views more  FGCS 2006»
13 years 9 months ago
BioSimGrid: Grid-enabled biomolecular simulation data storage and analysis
In computational biomolecular research, large amounts of simulation data are generated to capture the motion of proteins. These massive simulation data can be analysed in a number...
Muan Hong Ng, Steven Johnston, Bing Wu, Stuart E. ...
CONEXT
2009
ACM
13 years 10 months ago
Greening the internet with nano data centers
Motivated by increased concern over energy consumption in modern data centers, we propose a new, distributed computing platform called Nano Data Centers (NaDa). NaDa uses ISP-cont...
Vytautas Valancius, Nikolaos Laoutaris, Laurent Ma...