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BIODATAMINING
2008
147views more  BIODATAMINING 2008»
14 years 9 months ago
Neural networks for genetic epidemiology: past, present, and future
During the past two decades, the field of human genetics has experienced an information explosion. The completion of the human genome project and the development of high throughpu...
Alison A. Motsinger-Reif, Marylyn D. Ritchie
BMCBI
2010
89views more  BMCBI 2010»
14 years 9 months ago
Predictors of natively unfolded proteins: unanimous consensus score to detect a twilight zone between order and disorder in gene
Background: Natively unfolded proteins lack a well defined three dimensional structure but have important biological functions, suggesting a re-assignment of the structure-functio...
Antonio Deiana, Andrea Giansanti
BMCBI
2010
208views more  BMCBI 2010»
14 years 9 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...
BMCBI
2010
74views more  BMCBI 2010»
14 years 9 months ago
Correcting for the effects of natural abundance in stable isotope resolved metabolomics experiments involving ultra-high resolut
Background: Stable isotope tracing with ultra-high resolution Fourier transform-ion cyclotron resonance-mass spectrometry (FT-ICR-MS) can provide simultaneous determination of hun...
Hunter N. B. Moseley
BMCBI
2010
175views more  BMCBI 2010»
14 years 9 months ago
Global parameter estimation methods for stochastic biochemical systems
Background: The importance of stochasticity in cellular processes having low number of molecules has resulted in the development of stochastic models such as chemical master equat...
Suresh Kumar Poovathingal, Rudiyanto Gunawan