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BMCBI
2006
118views more  BMCBI 2006»
13 years 8 months ago
A graphical model approach to automated classification of protein subcellular location patterns in multi-cell images
Background: Knowledge of the subcellular location of a protein is critical to understanding how that protein works in a cell. This location is frequently determined by the interpr...
Shann-Ching Chen, Robert F. Murphy
ISBI
2008
IEEE
14 years 9 months ago
Statistical colocalization in biological imaging with false discovery control
In this paper, we present a novel object-based statistical colocalization method. Our colocalization relies on multiple hypothesis tests on the distances between all pairs of the ...
Bo Zhang, Nicolas Chenouard, Jean-Christophe Olivo...
VIS
2009
IEEE
238views Visualization» more  VIS 2009»
14 years 9 months ago
An Interactive Visualization Tool for Multi-channel Confocal Microscopy Data in Neurobiology Research
Confocal microscopy is widely used in neurobiology for studying the three-dimensional structure of the nervous system. Confocal image data are often multi-channel, with each channe...
Yong Wan, Hideo Otsuna, Chi-Bin Chien, Charles ...
JCC
2007
127views more  JCC 2007»
13 years 8 months ago
Prediction of GFP spectral properties using artificial neural network
Abstract: In this study, we applied artificial neural network, implementing the backpropagation algorithm, for the prediction of the excitation and emission maxima of green fluores...
Chanin Nantasenamat, Chartchalerm Isarankura-Na-Ay...
BIRD
2008
Springer
131views Bioinformatics» more  BIRD 2008»
13 years 10 months ago
Identifying Subcellular Locations from Images of Unknown Resolution
Our group has previously used machine learning techniques to develop computational systems to automatically analyse fluorescence microscope images and classify the location of the ...
Luís Pedro Coelho, Robert F. Murphy