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BMCBI
2010
113views more  BMCBI 2010»
15 years 4 months ago
Class prediction for high-dimensional class-imbalanced data
Background: The goal of class prediction studies is to develop rules to accurately predict the class membership of new samples. The rules are derived using the values of the varia...
Rok Blagus, Lara Lusa
BMCBI
2006
134views more  BMCBI 2006»
15 years 4 months ago
An approach for clustering gene expression data with error information
Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
Brian Tjaden
BMCBI
2007
144views more  BMCBI 2007»
15 years 4 months ago
Accelerated search for biomolecular network models to interpret high-throughput experimental data
Background: The functions of human cells are carried out by biomolecular networks, which include proteins, genes, and regulatory sites within DNA that encode and control protein e...
Suman Datta, Bahrad A. Sokhansanj
ERSHOV
2003
Springer
15 years 9 months ago
Data Mappings in the Model-View-Controller Pattern
The model-view-controller pattern is used to keep a data model and its views consistent. Usually there is a one-to-one correspondence between the data in the model and its represen...
Martin Rammerstorfer, Hanspeter Mössenbö...
BMCBI
2010
144views more  BMCBI 2010»
15 years 4 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...