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» Clustering Genes Using Heterogeneous Data Sources
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SIGMOD
2009
ACM
136views Database» more  SIGMOD 2009»
14 years 10 months ago
A comparison of approaches to large-scale data analysis
There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-scale data analysis [17]. Although the basic control flow of this framework has existed in ...
Andrew Pavlo, Erik Paulson, Alexander Rasin, Danie...
SIGMOD
2003
ACM
166views Database» more  SIGMOD 2003»
14 years 10 months ago
Statistical Schema Matching across Web Query Interfaces
Schema matching is a critical problem for integrating heterogeneous information sources. Traditionally, the problem of matching multiple schemas has essentially relied on finding ...
Bin He, Kevin Chen-Chuan Chang
DILS
2008
Springer
13 years 11 months ago
VisGenome and Ensembl: Usability of Integrated Genome Maps
It is not always clear how best to represent integrated data sets, and which application and database features allow a scientist to take best advantage of data coming from various ...
Joanna Jakubowska, Ela Hunt, John McClure, Matthew...
BMCBI
2005
124views more  BMCBI 2005»
13 years 9 months ago
Tools enabling the elucidation of molecular pathways active in human disease: Application to Hepatitis C virus infection
Background: The extraction of biological knowledge from genome-scale data sets requires its analysis in the context of additional biological information. The importance of integra...
David J. Reiss, Iliana Avila-Campillo, Vesteinn Th...
ISVC
2010
Springer
13 years 8 months ago
Subversion Statistics Sifter
We present Subversion Statistics Sifter, a visualisation and statistics system for exploring the structure and evolution of data contained in Subversion repositories with respect t...
Christoph Müller, Guido Reina, Michael Burch,...