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» Automating the constraining process
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150
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BMCBI
2010
233views more  BMCBI 2010»
15 years 3 months ago
Odefy -- From discrete to continuous models
Background: Phenomenological information about regulatory interactions is frequently available and can be readily converted to Boolean models. Fully quantitative models, on the ot...
Jan Krumsiek, Sebastian Pölsterl, Dominik M. ...
171
Voted
BMCBI
2010
104views more  BMCBI 2010»
15 years 3 months ago
Formal reasoning on qualitative models of coinfection of HIV and Tuberculosis and HAART therapy
Background: Several diseases, many of which nowadays pandemic, consist of multifactorial pathologies. Paradigmatic examples come from the immune response to pathogens, in which ca...
Anil Sorathiya, Andrea Bracciali, Pietro Liò...
121
Voted
BMCBI
2010
105views more  BMCBI 2010»
15 years 3 months ago
Subdivision of the MDR superfamily of medium-chain dehydrogenases/reductases through iterative hidden Markov model refinement
Background: The Medium-chain Dehydrogenases/Reductases (MDR) form a protein superfamily whose size and complexity defeats traditional means of subclassification; it currently has ...
Joel Hedlund, Hans Jörnvall, Bengt Persson
151
Voted
BMCBI
2007
157views more  BMCBI 2007»
15 years 3 months ago
Impact of image segmentation on high-content screening data quality for SK-BR-3 cells
Background: High content screening (HCS) is a powerful method for the exploration of cellular signalling and morphology that is rapidly being adopted in cancer research. HCS uses ...
Andrew A. Hill, Peter LaPan, Yizheng Li, Steve Han...
141
Voted
BMCBI
2007
135views more  BMCBI 2007»
15 years 3 months ago
RECOVIR: An application package to automatically identify some single stranded RNA viruses using capsid protein residues that un
Background: Most single stranded RNA (ssRNA) viruses mutate rapidly to generate large number of strains having highly divergent capsid sequences. Accurate strain recognition in un...
Dianhui Zhu, George E. Fox, Sugoto Chakravarty