Automated interpretation of subcellular patterns in fluorescence microscope images for location proteomics

Cytometry Part A

Volumn 69, Issue 7, 2006, Pages 631-640

  Chen, Xiang ^a,b   Velliste, Meel ^c   Murphy, Robert F ^a,b,c  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b Carnegie Mellon University   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Cluster analysis; Fluorescence microscopy; Location proteomics; Pattern recognition; Subcellular location features; Subcellular location trees

Indexed keywords

DNA;

AMINO ACID SEQUENCE; AUTOMATION; BIOMICS; CELL STRAIN 3T3; CELL STRUCTURE; CELL TYPE; CELLULAR DISTRIBUTION; CLUSTER ANALYSIS; CYTOMICS; FLUORESCENCE MICROSCOPE; HELA CELL; HUMAN; IMMUNOFLUORESCENCE MICROSCOPY; NONHUMAN; PATTERN RECOGNITION; PRIORITY JOURNAL; PROTEIN EXPRESSION; PROTEIN LOCALIZATION; PROTEIN STRUCTURE; PROTEIN TARGETING; PROTEOMICS; REVIEW;

ANIMALS; HUMANS; MICROSCOPY, FLUORESCENCE; PATTERN RECOGNITION, AUTOMATED; PROTEOMICS; SYSTEMS BIOLOGY;

EID: 33745948356     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.20280     Document Type: Review

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