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PR
2008
154views more  PR 2008»
13 years 8 months ago
Data-driven decomposition for multi-class classification
This paper presents a new study on a method of designing a multi-class classifier: Data-driven Error Correcting Output Coding (DECOC). DECOC is based on the principle of Error Cor...
Jie Zhou, Hanchuan Peng, Ching Y. Suen
BMCBI
2010
198views more  BMCBI 2010»
13 years 8 months ago
ClustalXeed: a GUI-based grid computation version for high performance and terabyte size multiple sequence alignment
Background: There is an increasing demand to assemble and align large-scale biological sequence data sets. The commonly used multiple sequence alignment programs are still limited...
Taeho Kim, Hyun Joo
BMCBI
2010
138views more  BMCBI 2010»
13 years 8 months ago
Sigma-2: Multiple sequence alignment of non-coding DNA via an evolutionary model
Background: While most multiple sequence alignment programs expect that all or most of their input is known to be homologous, and penalise insertions and deletions, this is not a ...
Gayathri Jayaraman, Rahul Siddharthan
BMCBI
2006
98views more  BMCBI 2006»
13 years 8 months ago
Scanning sequences after Gibbs sampling to find multiple occurrences of functional elements
Background: Many DNA regulatory elements occur as multiple instances within a target promoter. Gibbs sampling programs for finding DNA regulatory elements de novo can be prohibiti...
Kannan Tharakaraman, Leonardo Mariño-Ram&ia...
CSDA
2007
264views more  CSDA 2007»
13 years 8 months ago
Model-based methods to identify multiple cluster structures in a data set
Model-based clustering exploits finite mixture models for detecting group in a data set. It provides a sound statistical framework which can address some important issues, such as...
Giuliano Galimberti, Gabriele Soffritti