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» Automated Interpretation of Subcellular Location Patterns
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ISBI
2008
IEEE
14 years 7 months ago
Automated comparison of protein subcellular location patterns between images of normal and cancerous tissues
Early cancer diagnosis and evaluation of cancer progression during treatment are two important factors for clinical therapy. In this study we propose a novel approach which automa...
Estelle Glory, Justin Newberg, Robert F. Murphy
ISBI
2004
IEEE
14 years 7 months ago
Automated Classification of Subcellular Patterns In Multicell Images Without Segmentation Into Single Cells
Fluorescence microscope images capture information from an entire field of view, which often comprises several cells scattered on the slide. We have previously trained classifiers...
Kai Huang, Robert F. Murphy
ISBI
2006
IEEE
14 years 7 months ago
Improved comparison of protein subcellular location patterns
* A common task in cell and molecular biology is to evaluate the difference or similarity among location patterns under different circumstances. Our previous work has described an...
Ting Zhao, Stalia Soto, Robert F. Murphy
KDD
2003
ACM
142views Data Mining» more  KDD 2003»
14 years 7 months ago
Extracting information from text and images for location proteomics
There is extensive interest in automating the collection, organization and summarization of biological data. Data in the form of figures and accompanying captions in literature pr...
Zhenzhen Kou, William W. Cohen, Robert F. Murphy
ISBI
2009
IEEE
14 years 1 months ago
Automated Analysis of Human Protein Atlas Immunofluorescence Images
The Human Protein Atlas is a rich source of location proteomics data. In this work, we present an automated approach for processing and classifying major subcellular patterns in t...
Justin Newberg, Jieyue Li, Arvind Rao, Fredrik Pon...