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» Using OWL to model biological knowledge
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BMCBI
2008
114views more  BMCBI 2008»
13 years 7 months ago
Partial mixture model for tight clustering of gene expression time-course
Background: Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively l...
Yinyin Yuan, Chang-Tsun Li, Roland Wilson
CIBCB
2007
IEEE
13 years 11 months ago
Prediction of Enzyme Catalytic Sites from Sequence Using Neural Networks
The accurate prediction of enzyme catalytic sites remains an open problem in bioinformatics. Recently, several structure-based methods have become popular; however, few robust seq...
Swati Pande, Amar Raheja, Dennis R. Livesay
BMCBI
2008
133views more  BMCBI 2008»
13 years 7 months ago
Towards ontology-driven navigation of the lipid bibliosphere
Background: The indexing of scientific literature and content is a relevant and contemporary requirement within life science information systems. Navigating information available ...
Christopher J. O. Baker, Kanagasabai Rajaraman, We...
BMCBI
2007
175views more  BMCBI 2007»
13 years 7 months ago
CLUSS: Clustering of protein sequences based on a new similarity measure
Background: The rapid burgeoning of available protein data makes the use of clustering within families of proteins increasingly important. The challenge is to identify subfamilies...
Abdellali Kelil, Shengrui Wang, Ryszard Brzezinski...
IDA
2005
Springer
14 years 1 months ago
Bayesian Networks Learning for Gene Expression Datasets
DNA arrays yield a global view of gene expression and can be used to build genetic networks models, in order to study relations between genes. Literature proposes Bayesian network ...
Giacomo Gamberoni, Evelina Lamma, Fabrizio Riguzzi...