Automated interpretation of protein subcellular location patterns: Implications for early cancer detection and assessment

Annals of the New York Academy of Sciences

Volumn 1020, Issue , 2004, Pages 124-131

  Murphy, Robert F ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Fluorescence microscopy; Image similarity; Location proteomics; Pattern recognition; Protein distribution comparison; Protein localization; Subcellular Location Features

Indexed keywords

CELL CULTURE; CELL ORGANELLE; CELL SHAPE; CELL SIZE; CELLULAR DISTRIBUTION; CONFERENCE PAPER; CONTROLLED STUDY; FLUORESCENCE MICROSCOPY; HUMAN; HUMAN CELL; MICROSCOPE IMAGE; PATTERN RECOGNITION; PROTEIN LOCALIZATION; PROTEOMICS; STATISTICAL ANALYSIS; THREE DIMENSIONAL IMAGING;

EID: 2942541360     PISSN: 00778923     EISSN: None     Source Type: Book Series    
DOI: 10.1196/annals.1310.013     Document Type: Conference Paper

References (8)

1. BOLAND, M.V., M.K. MARKEY & R.F. MURPHY. 1998. Automated recognition of patterns characteristic of subcellular structures in fluorescence microscopy images. Cytometry 33: 366-375.
2. MURPHY, R.F., M.V. BOLAND & M. VELLISTE. 2000. Towards a systematics for protein subcellular location: quantitative description of protein localization patterns and automated analysis of fluorescence microscope images. Proc. Int. Conf. Intell. Syst. Mol. Biol. 8: 251-259.
3. BOLAND, M.V. & R.F. MURPHY. 2001. A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells. Bioinformatics 17: 1213-1223.
4. ROQUES, E.J.S. & R.F. MURPHY. 2002. Objective evaluation of differences in protein subcellular distribution. Traffic 3: 61-65.
5. VELLISTE, M. & R.F. MURPHY. 2002. Automated determination of protein subcellular locations from 3D fluorescence microscope images. In 2002 IEEE International Symposium on Biomedical Imaging (ISBI-2002), pp. 867-870.
6. MURPHY, R.F., M. VELLISTE & G. PORRECA. 2002. Robust classification of subcellular location patterns in fluorescence microscope images. In 2002 IEEE International Workshop on Neural Networks for Signal Processing (NNSP 12), pp. 67-76.
7. MURPHY, R.F., M. VELLISTE & G. PORRECA. 2003. Robust numerical features for description and classification of subcellular location patterns in fluorescence microscope images. J. VLSI Sig. Proc. 35: 311-321.
8. HUANG, K., M. VELLISTE & R.F. MURPHY. 2003. Feature reduction for improved recognition of subcellular location patterns in fluorescence microscope images. Proc. SPIE 4962: 307-318.