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» Clustering Genes Using Heterogeneous Data Sources
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SIGMOD
2009
ACM
136views Database» more  SIGMOD 2009»
16 years 2 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»
16 years 2 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
15 years 4 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...
143
Voted
BMCBI
2005
124views more  BMCBI 2005»
15 years 2 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...
123
Voted
ISVC
2010
Springer
15 years 28 days 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,...