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BMCBI
2011
14 years 8 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
CEC
2010
IEEE
14 years 11 months ago
Parameter estimation with term-wise decomposition in biochemical network GMA models by hybrid regularized Least Squares-Particle
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
Prospero C. Naval, Luis G. Sison, Eduardo R. Mendo...
LCTRTS
2005
Springer
15 years 10 months ago
Nonintrusive precision instrumentation of microcontroller software
Debugging, testing, and profiling microcontroller programs are notoriously difficult. The lack of supporting software such as an operating system, a narrow interface to the hard...
Ben Titzer, Jens Palsberg
ICCS
2004
Springer
15 years 10 months ago
Direct and Homogeneous Numerical Approaches to Multiphase Flows and Applications
We have studied two approaches to the modeling of bubbly and cavitating fluids. The first approach is based on the direct numerical simulation of gas bubbles using the interface ...
Roman Samulyak, Tianshi Lu, Yarema Prykarpatskyy
TCBB
2011
14 years 11 months ago
A Partial Set Covering Model for Protein Mixture Identification Using Mass Spectrometry Data
—Protein identification is a key and essential step in mass spectrometry (MS) based proteome research. To date, there are many protein identification strategies that employ eithe...
Zengyou He, Can Yang, Weichuan Yu