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BMCBI
2006
122views more  BMCBI 2006»
15 years 6 months ago
A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets
Background: Gene selection is an important step when building predictors of disease state based on gene expression data. Gene selection generally improves performance and identifi...
Carmen Lai, Marcel J. T. Reinders, Laura J. van't ...
BMCBI
2006
187views more  BMCBI 2006»
15 years 6 months ago
Detecting outliers when fitting data with nonlinear regression - a new method based on robust nonlinear regression and the false
Background: Nonlinear regression, like linear regression, assumes that the scatter of data around the ideal curve follows a Gaussian or normal distribution. This assumption leads ...
Harvey J. Motulsky, Ronald E. Brown
BMCBI
2006
105views more  BMCBI 2006»
15 years 6 months ago
Integrative investigation of metabolic and transcriptomic data
Background: New analysis methods are being developed to integrate data from transcriptome, proteome, interactome, metabolome, and other investigative approaches. At the same time,...
Pinar Pir, Betül Kirdar, Andrew Hayes, Z. Ils...
BMCBI
2006
69views more  BMCBI 2006»
15 years 6 months ago
Retrieval with gene queries
Background: Accuracy of document retrieval from MEDLINE for gene queries is crucially important for many applications in bioinformatics. We explore five information retrieval-base...
Aditya Kumar Sehgal, Padmini Srinivasan
BMCBI
2006
97views more  BMCBI 2006»
15 years 6 months ago
PDA: Pooled DNA analyzer
Background: Association mapping using abundant single nucleotide polymorphisms is a powerful tool for identifying disease susceptibility genes for complex traits and exploring pos...
Hsin-Chou Yang, Chia-Ching Pan, Chin-Yu Lin, Cathy...