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BMCBI
2010
153views more  BMCBI 2010»
13 years 10 months ago
Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
Eva Freyhult, Mattias Landfors, Jenny Önskog,...
BMCBI
2010
89views more  BMCBI 2010»
13 years 10 months ago
Semi-automatic identification of punching areas for tissue microarray building: the tubular breast cancer pilot study
Background: Tissue MicroArray technology aims to perform immunohistochemical staining on hundreds of different tissue samples simultaneously. It allows faster analysis, considerab...
Federica Viti, Ivan Merelli, Mieke Timmermans, Mic...
BMCBI
2010
102views more  BMCBI 2010»
13 years 10 months ago
Peptide binding predictions for HLA DR, DP and DQ molecules
Background: MHC class II binding predictions are widely used to identify epitope candidates in infectious agents, allergens, cancer and autoantigens. The vast majority of predicti...
Peng Wang, John Sidney, Yohan Kim, Alessandro Sett...
CGF
2010
144views more  CGF 2010»
13 years 10 months ago
Dynamic Multi-View Exploration of Shape Spaces
Statistical shape modeling is a widely used technique for the representation and analysis of the shapes and shape variations present in a population. A statistical shape model mod...
Stef Busking, Charl P. Botha, Frits H. Post
EOR
2010
93views more  EOR 2010»
13 years 10 months ago
Two-stage flexible-choice problems under uncertainty
A significant input-data uncertainty is often present in practical situations. One approach to coping with this uncertainty is to describe the uncertainty with scenarios. A scenar...
Jurij Mihelic, Amine Mahjoub, Christophe Rapine, B...