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PR
2008
154views more  PR 2008»
14 years 9 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»
14 years 10 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»
14 years 10 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»
14 years 9 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»
14 years 9 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