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BMCBI
2006
201views more  BMCBI 2006»
13 years 7 months ago
Gene selection algorithms for microarray data based on least squares support vector machine
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
BMCBI
2006
129views more  BMCBI 2006»
13 years 7 months ago
Identifying genes that contribute most to good classification in microarrays
Background: The goal of most microarray studies is either the identification of genes that are most differentially expressed or the creation of a good classification rule. The dis...
Stuart G. Baker, Barnett S. Kramer
CPHYSICS
2006
182views more  CPHYSICS 2006»
13 years 7 months ago
MinFinder: Locating all the local minima of a function
A new stochastic clustering algorithm is introduced that aims to locate all the local minima of a multidimensional continuous and differentiable function inside a bounded domain. ...
Ioannis G. Tsoulos, Isaac E. Lagaris
BMCBI
2007
157views more  BMCBI 2007»
13 years 7 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
BMCBI
2007
149views more  BMCBI 2007»
13 years 7 months ago
SAMPI: Protein Identification with Mass Spectra Alignments
Background: Mass spectrometry based peptide mass fingerprints (PMFs) offer a fast, efficient, and robust method for protein identification. A protein is digested (usually by tryps...
Hans-Michael Kaltenbach, Andreas Wilke, Sebastian ...