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» Discovering Interesting Subsets Using Statistical Analysis
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BMCBI
2004
150views more  BMCBI 2004»
15 years 2 months ago
Graph-based iterative Group Analysis enhances microarray interpretation
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
Rainer Breitling, Anna Amtmann, Pawel Herzyk
SIGIR
2002
ACM
15 years 2 months ago
Automatic evaluation of world wide web search services
Users of the World-Wide Web are not only confronted by an immense overabundance of information, but also by a plethora of tools for searching for the web pages that suit their inf...
Abdur Chowdhury, Ian Soboroff
147
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BMCBI
2007
165views more  BMCBI 2007»
15 years 2 months ago
Automatic reconstruction of a bacterial regulatory network using Natural Language Processing
Background: Manual curation of biological databases, an expensive and labor-intensive process, is essential for high quality integrated data. In this paper we report the implement...
Carlos Rodríguez Penagos, Heladia Salgado, ...
GRID
2007
Springer
15 years 6 months ago
Optimizing multiple queries on scientific datasets with partial replicas
We propose strategies to efficiently execute a query workload, which consists of multiple related queries submitted against a scientific dataset, on a distributed-memory system in...
Li Weng, Ümit V. Çatalyürek, Tahs...
BMCBI
2008
102views more  BMCBI 2008»
15 years 2 months ago
Response projected clustering for direct association with physiological and clinical response data
Background: Microarray gene expression data are often analyzed together with corresponding physiological response and clinical metadata of biological subjects, e.g. patients'...
Sung-Gon Yi, Taesung Park, Jae K. Lee