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» Validating associations in biological databases
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BMCBI
2010
149views more  BMCBI 2010»
13 years 10 months ago
KID - an algorithm for fast and efficient text mining used to automatically generate a database containing kinetic information o
Background: The amount of available biological information is rapidly increasing and the focus of biological research has moved from single components to networks and even larger ...
Stephanie Heinen, Bernhard Thielen, Dietmar Schomb...
NAR
2011
191views Computer Vision» more  NAR 2011»
13 years 19 days ago
ConsensusPathDB: toward a more complete picture of cell biology
ConsensusPathDB is a meta-database that integrates different types of functional interactions from heterogeneous interaction data resources. Physical protein interactions, metabol...
Atanas Kamburov, Konstantin Pentchev, Hanna Galick...
KDD
2002
ACM
145views Data Mining» more  KDD 2002»
14 years 10 months ago
Handling very large numbers of association rules in the analysis of microarray data
The problem of analyzing microarray data became one of important topics in bioinformatics over the past several years, and different data mining techniques have been proposed for ...
Alexander Tuzhilin, Gediminas Adomavicius
VLDB
2002
ACM
123views Database» more  VLDB 2002»
13 years 9 months ago
Maintaining Data Privacy in Association Rule Mining
Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to provide spurious information. We investigate here,...
Shariq Rizvi, Jayant R. Haritsa
DEXA
2009
Springer
167views Database» more  DEXA 2009»
14 years 4 months ago
Analyses and Validation of Conditional Dependencies with Built-in Predicates
Abstract. This paper proposes a natural extension of conditional functional dependencies (cfds [14]) and conditional inclusion dependencies (cinds [8]), denoted by cfdp s and cindp...
Wenguang Chen, Wenfei Fan, Shuai Ma