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BIODATAMINING
2008
147views more  BIODATAMINING 2008»
15 years 6 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
115views more  BMCBI 2010»
15 years 6 months ago
Importance of replication in analyzing time-series gene expression data: Corticosteroid dynamics and circadian patterns in rat l
Background: Microarray technology is a powerful and widely accepted experimental technique in molecular biology that allows studying genome wide transcriptional responses. However...
Tung T. Nguyen, Richard R. Almon, Debra C. DuBois,...
CG
2006
Springer
15 years 6 months ago
Realtime automatic selection of good molecular views
The investigation of molecular structures often requires the use of graphics software to display different representations of the molecule of interest. Unfortunately, the commonly...
Pere-Pau Vázquez, Miquel Feixas, Mateu Sber...
BMCBI
2005
84views more  BMCBI 2005»
15 years 6 months ago
A note on generalized Genome Scan Meta-Analysis statistics
Background: Wise et al. introduced a rank-based statistical technique for meta-analysis of genome scans, the Genome Scan Meta-Analysis (GSMA) method. Levinson et al. recently desc...
James A. Koziol, Anne C. Feng
NN
2000
Springer
170views Neural Networks» more  NN 2000»
15 years 6 months ago
Synthetic brain imaging: grasping, mirror neurons and imitation
The article contributes to the quest to relate global data on brain and behavior (e.g. from PET, Positron Emission Tomography, and fMRI, functional Magnetic Resonance Imaging) to ...
Michael A. Arbib, Aude Billard, Marco Iacoboni, Er...