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BMCBI
2006
109views more  BMCBI 2006»
13 years 5 months ago
Integrated analysis of gene expression by association rules discovery
Background: Microarray technology is generating huge amounts of data about the expression level of thousands of genes, or even whole genomes, across different experimental conditi...
Pedro Carmona-Saez, Monica Chagoyen, Andrés...
BMCBI
2007
121views more  BMCBI 2007»
13 years 5 months ago
e-Science and biological pathway semantics
Background: The development of e-Science presents a major set of opportunities and challenges for the future progress of biological and life scientific research. Major new tools a...
Joanne S. Luciano, Robert D. Stevens
BMCBI
2010
112views more  BMCBI 2010»
13 years 5 months ago
Knowledge-based analysis of microarrays for the discovery of transcriptional regulation relationships
Background: The large amount of high-throughput genomic data has facilitated the discovery of the regulatory relationships between transcription factors and their target genes. Wh...
Junhee Seok, Amit Kaushal, Ronald W. Davis, Wenzho...
SEMWEB
2009
Springer
13 years 12 months ago
Populating the Semantic Web by Macro-reading Internet Text
A key question regarding the future of the semantic web is “how will we acquire structured information to populate the semantic web on a vast scale?” One approach is to enter t...
Tom M. Mitchell, Justin Betteridge, Andrew Carlson...
ERCIMDL
2006
Springer
204views Education» more  ERCIMDL 2006»
13 years 9 months ago
Comparing and Combining Two Approaches to Automated Subject Classification of Text
A machine-learning and a string-matching approach to automated subject classification of text were compared, as to their performance, advantages and downsides. The former approach ...
Koraljka Golub, Anders Ardö, Dunja Mladenic, ...