A graphical model approach to automated classification of protein subcellular location patterns in multi-cell images

BMC Bioinformatics

Volumn 7, Issue , 2006, Pages

  Chen, Shann Ching ^a   Murphy, Robert F ^a,b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY OF CLASSIFICATIONS; AUTOMATED CLASSIFICATION; CLASSIFICATION ACCURACY; EXPERIMENTAL CONDITIONS; FLUORESCENCE MICROSCOPE IMAGES; GRAPHICAL REPRESENTATIONS; PROTEIN SUBCELLULAR LOCATION; SUBCELLULAR STRUCTURE;

ALGORITHMS; AUTOMATION; CYTOLOGY; FLUORESCENCE; GRAPHIC METHODS; PROBABILITY; PROTEINS; SPEECH RECOGNITION;

CELLS;

PROTEIN;

ACCURACY; ALGORITHM; ARTICLE; AUTOMATION; BAYES THEOREM; BIOINFORMATICS; CELL TYPE; CELLULAR DISTRIBUTION; CLASSIFICATION; COMPUTER ANALYSIS; COMPUTER GRAPHICS; COMPUTER INTERFACE; COMPUTER MODEL; COMPUTER PROGRAM; COMPUTER SIMULATION; FLUORESCENCE MICROSCOPY; HELA CELL; HIGH THROUGHPUT SCREENING; HUMAN; IMAGE ANALYSIS; MOLECULAR PROBE; PROTEIN ANALYSIS; PROTEIN DETERMINATION; PROTEIN FUNCTION; PROTEIN LOCALIZATION; PROTEOMICS; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BIOLOGY; CELL; CELL STRUCTURE; CHEMISTRY; EVALUATION; IMAGE PROCESSING; METHODOLOGY; REPRODUCIBILITY;

ALGORITHMS; AUTOMATION; BAYES THEOREM; CELLS; CELLULAR STRUCTURES; COMPUTATIONAL BIOLOGY; HELA CELLS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROSCOPY, FLUORESCENCE; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; PROTEINS; REPRODUCIBILITY OF RESULTS;

EID: 33745835457     PISSN: 14712105     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-7-90     Document Type: Article

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