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» Clustering Genes Using Heterogeneous Data Sources
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AMW
2009
14 years 9 days ago
Bi-Level Mapping: Combining Schema and Data Level Heterogeneity in Peer Data Sharing Systems
Abstract. Peer data sharing systems use either schema-level or data-level mappings to resolve schema as well as data heterogeneity among data sources (peers). Schema-level mappings...
Md. Anisur Rahman, Mehedi Masud, Iluju Kiringa, Ab...
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
14 years 5 months ago
A multi-objective approach to discover biclusters in microarray data
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
Federico Divina, Jesús S. Aguilar-Ruiz
EUSFLAT
2009
163views Fuzzy Logic» more  EUSFLAT 2009»
13 years 9 months ago
A Fuzzy Set Approach to Ecological Knowledge Discovery
Besides the problem of searching for effective methods for extracting knowledge from large databases (KDD) there are some additional problems with handling ecological data, namely ...
Arkadiusz Salski
DEXAW
2008
IEEE
120views Database» more  DEXAW 2008»
14 years 5 months ago
Robust Data Exchange for Unreliable P2P Networks
The aim of this work is to provide a robust way for peers with heterogeneous data sources to exchange information in an unreliable network. We address this problem in two ways. Fi...
Duc Minh Le, Andrew Smith, Peter McBrien
BMCBI
2006
181views more  BMCBI 2006»
13 years 11 months ago
Array2BIO: from microarray expression data to functional annotation of co-regulated genes
Background: There are several isolated tools for partial analysis of microarray expression data. To provide an integrative, easy-to-use and automated toolkit for the analysis of A...
Gabriela G. Loots, Patrick S. G. Chain, Shalini Ma...