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» Learning Methods for DNA Binding in Computational Biology
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113
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BMCBI
2004
113views more  BMCBI 2004»
15 years 27 days ago
Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
Peter Meinicke, Maike Tech, Burkhard Morgenstern, ...
ICPR
2004
IEEE
16 years 2 months ago
Missing Microarray Data Estimation Based on Projection onto Convex Sets Method
DNA microarrays have gained widespread uses in biological studies. Missing values in a microarray experiment must be estimated before further analysis. In this paper, we propose a...
Alan Wee-Chung Liew, Hong Yan, Xiangchao Gan
99
Voted
BMCBI
2006
139views more  BMCBI 2006»
15 years 1 months ago
DNA Molecule Classification Using Feature Primitives
Background: We present a novel strategy for classification of DNA molecules using measurements from an alpha-Hemolysin channel detector. The proposed approach provides excellent c...
Raja Tanveer Iqbal, Matthew Landry, Stephen Winter...
ISMB
2008
15 years 3 months ago
Classification of arrayCGH data using fused SVM
Motivation: Array-based comparative genomic hybridization (arrayCGH) has recently become a popular tool to identify DNA copy number variations along the genome. These profiles are...
Franck Rapaport, Emmanuel Barillot, Jean-Philippe ...
76
Voted
BMCBI
2010
93views more  BMCBI 2010»
15 years 1 months ago
HAT: Hypergeometric Analysis of Tiling-arrays with application to promoter-GeneChip data
Background: Tiling-arrays are applicable to multiple types of biological research questions. Due to its advantages (high sensitivity, resolution, unbiased), the technology is ofte...
Erdogan Taskesen, Renee Beekman, Jeroen de Ridder,...