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BMCBI
2007
175views more  BMCBI 2007»
13 years 4 months ago
Fast automated cell phenotype image classification
Background: The genomic revolution has led to rapid growth in sequencing of genes and proteins, and attention is now turning to the function of the encoded proteins. In this respe...
Nicholas A. Hamilton, Radosav S. Pantelic, Kelly H...
ISBI
2006
IEEE
14 years 5 months ago
A novel approximate inference approach to automated classification of protein subcellular location patterns in multi-cell images
The subcellular location of proteins is most often determined by visual interpretation of fluorescence microscope images. In recent years, automated systems have been developed so...
Shann-Ching Chen, Geoffrey J. Gordon, Robert F. Mu...
ISBI
2006
IEEE
14 years 5 months ago
Application of temporal texture features to automated analysis of protein subcellular locations in time series fluorescence micr
Protein subcellular locations, as an important property of proteins, are commonly learned using fluorescence microscopy. Previous work by our group has shown that automated analys...
Yanhua Hu, Jesus Carmona, Robert F. Murphy
BIRD
2008
Springer
131views Bioinformatics» more  BIRD 2008»
13 years 6 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
BMCBI
2011
12 years 11 months ago
Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble
Background: Automated, image based high-content screening is a fundamental tool for discovery in biological science. Modern robotic fluorescence microscopes are able to capture th...
Bailing Zhang, Tuan D. Pham