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BMCBI
2007
130views more  BMCBI 2007»
15 years 1 months ago
HMM-ModE - Improved classification using profile hidden Markov models by optimising the discrimination threshold and modifying e
Background: Profile Hidden Markov Models (HMM) are statistical representations of protein families derived from patterns of sequence conservation in multiple alignments and have b...
Prashant K. Srivastava, Dhwani K. Desai, Soumyadee...
BMCBI
2004
166views more  BMCBI 2004»
15 years 1 months ago
Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models
Background: Many current gene prediction methods use only one model to represent proteincoding regions in a genome, and so are less likely to predict the location of genes that ha...
Shaun Mahony, James O. McInerney, Terry J. Smith, ...
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BMCBI
2011
14 years 5 months ago
Biomarker Discovery and Redundancy Reduction towards Classification using a Multi-factorial MALDI-TOF MS T2DM Mouse Model Datase
Background: Diabetes like many diseases and biological processes is not mono-causal. On the one hand multifactorial studies with complex experimental design are required for its c...
Chris Bauer, Frank Kleinjung, Celia J. Smith, Mark...
BMCBI
2010
109views more  BMCBI 2010»
15 years 1 months ago
Prediction of the binding affinities of peptides to class II MHC using a regularized thermodynamic model
Background: The binding of peptide fragments of extracellular peptides to class II MHC is a crucial event in the adaptive immune response. Each MHC allotype generally binds a dist...
Andrew J. Bordner, Hans D. Mittelmann
ICCS
2007
Springer
15 years 7 months ago
A Multiscale, Cell-Based Framework for Modeling Cancer Development
We use a systems approach to develop a predictive model that medical researchers can use to study and treat cancerous tumors. Our multiscale, cell-based model includes intracellula...
Yi Jiang