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BMCBI
2010
135views more  BMCBI 2010»
13 years 7 months ago
Simple and flexible classification of gene expression microarrays via Swirls and Ripples
Background: A simple classification rule with few genes and parameters is desirable when applying a classification rule to new data. One popular simple classification rule, diagon...
Stuart G. Baker
ML
2002
ACM
123views Machine Learning» more  ML 2002»
13 years 7 months ago
Feature Generation Using General Constructor Functions
Most classification algorithms receive as input a set of attributes of the classified objects. In many cases, however, the supplied set of attributes is not sufficient for creatin...
Shaul Markovitch, Dan Rosenstein
BMCBI
2005
128views more  BMCBI 2005»
13 years 7 months ago
Transformation and other factors of the peptide mass spectrometry pairwise peak-list comparison process
Background: Biological Mass Spectrometry is used to analyse peptides and proteins. A mass spectrum generates a list of measured mass to charge ratios and intensities of ionised pe...
Witold E. Wolski, Maciej Lalowski, Peter Martus, R...
BMCBI
2011
13 years 2 months ago
Flexible taxonomic assignment of ambiguous sequencing reads
Background: To characterize the diversity of bacterial populations in metagenomic studies, sequencing reads need to be accurately assigned to taxonomic units in a given reference ...
José Carlos Clemente, Jesper Jansson, Gabri...
BMCBI
2008
95views more  BMCBI 2008»
13 years 7 months ago
Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
Joseph W. Foley, Fumiaki Katagiri