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» A rough set approach to multiple dataset analysis
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BMCBI
2007
182views more  BMCBI 2007»
14 years 11 months ago
EDISA: extracting biclusters from multiple time-series of gene expression profiles
Background: Cells dynamically adapt their gene expression patterns in response to various stimuli. This response is orchestrated into a number of gene expression modules consistin...
Jochen Supper, Martin Strauch, Dierk Wanke, Klaus ...
CCGRID
2005
IEEE
15 years 5 months ago
Servicing range queries on multidimensional datasets with partial replicas
Partial replication is one type of optimization to speed up execution of queries submitted to large datasets. In partial replication, a portion of the dataset is extracted, re-org...
Li Weng, Ümit V. Çatalyürek, Tahs...
BMCBI
2010
106views more  BMCBI 2010»
14 years 11 months ago
Predicting MHC class I epitopes in large datasets
Background: Experimental screening of large sets of peptides with respect to their MHC binding capabilities is still very demanding due to the large number of possible peptide seq...
Kirsten Roomp, Iris Antes, Thomas Lengauer
PERCOM
2007
ACM
15 years 11 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
AMAI
2007
Springer
14 years 11 months ago
Relational concept discovery in structured datasets
Relational datasets, i.e., datasets in which individuals are described both by their own features and by their relations to other individuals, arise from various sources such as d...
Marianne Huchard, Mohamed Rouane Hacene, Cyril Rou...