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» Predicting Nucleolar Proteins Using Support-Vector Machines
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BMCBI
2008
220views more  BMCBI 2008»
13 years 7 months ago
Gene prediction in metagenomic fragments: A large scale machine learning approach
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
BMCBI
2007
140views more  BMCBI 2007»
13 years 7 months ago
Accurate prediction of protein secondary structure and solvent accessibility by consensus combiners of sequence and structure in
Background: Structural properties of proteins such as secondary structure and solvent accessibility contribute to three-dimensional structure prediction, not only in the ab initio...
Gianluca Pollastri, Alberto J. M. Martin, Catherin...
BMCBI
2006
112views more  BMCBI 2006»
13 years 7 months ago
Protein disorder prediction by condensed PSSM considering propensity for order or disorder
Background: More and more disordered regions have been discovered in protein sequences, and many of them are found to be functionally significant. Previous studies reveal that dis...
Chung-Tsai Su, Chien-Yu Chen, Yu-Yen Ou
IJCAI
2007
13 years 8 months ago
Simple Training of Dependency Parsers via Structured Boosting
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
Qin Iris Wang, Dekang Lin, Dale Schuurmans
CSB
2004
IEEE
146views Bioinformatics» more  CSB 2004»
13 years 11 months ago
Automated Protein Classification Using Consensus Decision
We propose a novel technique for automatically generating the SCOP classification of a protein structure with high accuracy. High accuracy is achieved by combining the decisions o...
Tolga Can, Orhan Çamoglu, Ambuj K. Singh, Y...