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» Describing Semistructured Data
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IPPS
2000
IEEE
15 years 11 months ago
PaDDMAS: Parallel and Distributed Data Mining Application Suite
Discovering complex associations, anomalies and patterns in distributed data sets is gaining popularity in a range of scientific, medical and business applications. Various algor...
Omer F. Rana, David W. Walker, Maozhen Li, Steven ...
WWW
2010
ACM
15 years 10 months ago
Enabling entity-based aggregators for web 2.0 data
Selecting and presenting content culled from multiple heterogeneous and physically distributed sources is a challenging task. The exponential growth of the web data in modern time...
Ekaterini Ioannou, Claudia Niederée, Yannis...
BMCBI
2010
133views more  BMCBI 2010»
15 years 6 months ago
Consolidating metabolite identifiers to enable contextual and multi-platform metabolomics data analysis
Background: Analysis of data from high-throughput experiments depends on the availability of well-structured data that describe the assayed biomolecules. Procedures for obtaining ...
Henning Redestig, Miyako Kusano, Atsushi Fukushima...
BMCBI
2010
108views more  BMCBI 2010»
15 years 6 months ago
Error, reproducibility and sensitivity : a pipeline for data processing of Agilent oligonucleotide expression arrays
Background: Expression microarrays are increasingly used to obtain large scale transcriptomic information on a wide range of biological samples. Nevertheless, there is still much ...
Benjamin Chain, Helen Bowen, John Hammond, Wilfrie...
BMCBI
2006
134views more  BMCBI 2006»
15 years 6 months ago
An approach for clustering gene expression data with error information
Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
Brian Tjaden