Determining the distribution of probes between different subcellular locations through automated unmixing of subcellular patterns

Proceedings of the National Academy of Sciences of the United States of America

Volumn 107, Issue 7, 2010, Pages 2944-2949

  Peng, Tao ^a   Bonamy, Ghislain M C ^b,c   Glory Afshar, Estelle ^a   Rines, Daniel R ^b   Chanda, Sumit K ^b,d   Murphy, Robert F ^a,e,f  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b Carnegie Mellon University   (United States)

^c GENOMICS INSTITUTE OF THE NOVARTIS RESEARCH FOUNDATION   (United States)

^d HUDSONALPHA INSTITUTE FOR BIOTECHNOLOGY   (United States)

^e BURNHAM INSTITUTE   (United States)

^f UNIVERSITY OF FREIBURG   (Germany)

Author keywords

Automated microscopy; Fluorescence microscopy; High content analysis; Location proteomics; Pattern recognition

Indexed keywords

BAFILOMYCIN A1; PROTEOME;

ALGORITHM; ARTICLE; CELL COMPARTMENTALIZATION; CELL FRACTIONATION; CELL ORGANELLE; CELLULAR DISTRIBUTION; FLUORESCENCE MICROSCOPY; INTRACELLULAR SPACE; MACHINE LEARNING; PHAGOCYTOSIS; PHAGOSOME; PRIORITY JOURNAL; PROTEIN LOCALIZATION; PROTEOMICS; QUANTITATIVE ANALYSIS; SIGNAL TRANSDUCTION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FLUORESCENT DYES; IMAGE PROCESSING, COMPUTER-ASSISTED; INTRACELLULAR SPACE; PROTEIN TRANSPORT; PROTEOMICS;

EID: 77649263885     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.0912090107     Document Type: Article

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