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» Feature Construction for Relational Sequence Learning
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103
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ICML
2009
IEEE
16 years 14 days ago
Learning non-redundant codebooks for classifying complex objects
Codebook-based representations are widely employed in the classification of complex objects such as images and documents. Most previous codebook-based methods construct a single c...
Wei Zhang, Akshat Surve, Xiaoli Fern, Thomas G. Di...
BMCBI
2008
123views more  BMCBI 2008»
14 years 11 months ago
Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
Firoz Anwar, Syed Murtuza Baker, Taskeed Jabid, Md...
BMCBI
2006
150views more  BMCBI 2006»
14 years 11 months ago
CGAT: a comparative genome analysis tool for visualizing alignments in the analysis of complex evolutionary changes between clos
Background: The recent accumulation of closely related genomic sequences provides a valuable resource for the elucidation of the evolutionary histories of various organisms. Howev...
Ikuo Uchiyama, Toshio Higuchi, Ichizo Kobayashi
BMCBI
2005
100views more  BMCBI 2005»
14 years 11 months ago
Speeding disease gene discovery by sequence based candidate prioritization
Background: Regions of interest identified through genetic linkage studies regularly exceed 30 centimorgans in size and can contain hundreds of genes. Traditionally this number is...
Euan A. Adie, Richard R. Adams, Kathryn L. Evans, ...
91
Voted
BMCBI
2005
87views more  BMCBI 2005»
14 years 11 months ago
ProfNet, a method to derive profile-profile alignment scoring functions that improves the alignments of distantly related protei
Background: Profile-profile methods have been used for some years now to detect and align homologous proteins. The best such methods use information from the background distributi...
Tomas Ohlson, Arne Elofsson