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» Embedding Heterogeneous Data Using Statistical Models
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125
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BMCBI
2010
113views more  BMCBI 2010»
15 years 7 days ago
Probabilistic Principal Component Analysis for Metabolomic Data
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
Gift Nyamundanda, Lorraine Brennan, Isobel Claire ...
116
Voted
BMCBI
2005
151views more  BMCBI 2005»
15 years 16 days ago
stam - a Bioconductor compliant R package for structured analysis of microarray data
Background: Genome wide microarray studies have the potential to unveil novel disease entities. Clinically homogeneous groups of patients can have diverse gene expression profiles...
Claudio Lottaz, Rainer Spang
98
Voted
CN
2000
80views more  CN 2000»
15 years 14 days ago
An entropy approach to unintrusive targeted advertising on the Web
This paper describes the formulation of a new model for unintrusive targeted advertising on the web, extending the linear programming approach taken by Langheinrich et al.[10] A f...
John A. Tomlin
74
Voted
SEMWEB
2007
Springer
15 years 6 months ago
Potluck: Semi-Ontology Alignment for Casual Users
Potluck is a web user interface (Figure 1) that lets casual users— those without programming skills and data modeling expertise—merge and repurpose heterogeneous Semantic Web d...
David F. Huynh, Robert C. Miller, David R. Karger
126
Voted
BMCBI
2007
176views more  BMCBI 2007»
15 years 23 days ago
The Firegoose: two-way integration of diverse data from different bioinformatics web resources with desktop applications
Background: Information resources on the World Wide Web play an indispensable role in modern biology. But integrating data from multiple sources is often encumbered by the need to...
J. Christopher Bare, Paul T. Shannon, Amy K. Schmi...