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» Clustering Genes Using Heterogeneous Data Sources
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IWANN
2009
Springer
15 years 9 months ago
Identifying Gene Ontology Areas for Automated Enrichment
Biomedical ontologies provide a commonly accepted scheme for the characterization of biological concepts that enable knowledge sharing and integration. Updating and maintaining an ...
Catia Pesquita, Tiago Grego, Francisco M. Couto
JNW
2007
100views more  JNW 2007»
15 years 3 months ago
Towards a Novel Metadata Information Service for Distributed Data Management
— The trend in Grid computing towards more data intensive applications, accessing more and more relational databases and requiring advanced integration of secondhand and publicly...
Alexander Wöhrer, Peter Brezany
KDD
2006
ACM
142views Data Mining» more  KDD 2006»
16 years 3 months ago
Automatic mining of fruit fly embryo images
We present FEMine, an automatic system for image-based gene expression analysis. We perform experiments on the largest publicly available collection of Drosophila ISH (in situ hyb...
Jia-Yu Pan, André G. R. Balan, Eric P. Xing...
HT
2011
ACM
14 years 6 months ago
Personalisation in the wild: providing personalisation across semantic, social and open-web resources
One of the key motivating factors for information providers to use personalisation is to maximise the benefit to the user in accessing their content. However, traditionally such s...
Ben Steichen, Alexander O'Connor, Vincent Wade
BMCBI
2006
100views more  BMCBI 2006»
15 years 3 months ago
Empirical array quality weights in the analysis of microarray data
Background: Assessment of array quality is an essential step in the analysis of data from microarray experiments. Once detected, less reliable arrays are typically excluded or &qu...
Matthew E. Ritchie, Dileepa S. Diyagama, Jody Neil...