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BIB
2007
108views more  BIB 2007»
13 years 10 months ago
Bayesian methods in bioinformatics and computational systems biology
Bayesian methods are valuable, inter alia, whenever there is a need to extract information from data that is uncertain or subject to any kind of error or noise (including measurem...
Darren J. Wilkinson
CCECE
2006
IEEE
14 years 4 months ago
Survey of Biological High Performance Computing: Algorithms, Implementations and Outlook Research
During recent years there has been an explosive growth of biological data coming from genome projects, proteomics, protein structure determination, and the rapid expansion in digi...
Nasreddine Hireche, J. M. Pierre Langlois, Gabriel...
WSC
2007
14 years 7 days ago
Combining micro and macro-modeling in DEVS for computational biology
In computational biology there is an increasing need to combine micro and macro views of the system of interest. Therefore, explicit means to describe micro and macro level and th...
Adelinde M. Uhrmacher, Roland Ewald, Mathias John,...
IDA
2003
Springer
14 years 3 months ago
Similarity-Based Neural Networks for Applications in Computational Molecular Biology
This paper presents an alternative to distance-based neural networks. A distance measure is the underlying property on which many neural models rely, for example self-organizing ma...
Igor Fischer
TPDS
1998
112views more  TPDS 1998»
13 years 9 months ago
Parallel Computation in Biological Sequence Analysis
—A massive volume of biological sequence data is available in over 36 different databases worldwide, including the sequence data generated by the Human Genome project. These data...
Tieng K. Yap, Ophir Frieder, Robert L. Martino