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Technische Universität München
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Protein subcellular location pattern classification in cellular images using latent discriminative models
Jieyue Li
,
Liang Xiong
,
Jeff Schneider
,
Robert F. Murphy
Bioinformatics
28
(12), 2012, pp. 32-39
Learning cellular sorting pathways using protein interactions and sequence motifs
Tien-ho Lin
,
Ziv Bar-Joseph
,
Robert F. Murphy
LNCS/LNBI
6577
, 2011, pp. 204-221
Quantifying the distribution of probes between subcellular locations using unsupervised pattern unmixing
Luis Pedro Coelho
,
Tao Peng
,
Robert F. Murphy
Bioinformatics
26
(12), 2010, pp. 7-12
Automated analysis of protein subcellular location in time series images
Yanhua Hu
,
Elvira Osuna-Highley
,
Juchang Hua
,
Theodore Scott Nowicki
,
Robert Stolz
,
Camille McKayle
,
Robert F. Murphy
Bioinformatics
26
(13), 2010, pp. 1630-1636
Improved recognition of figures containing fluorescence microscope images in online journal articles using graphical models
Yuntao Qian
,
Robert F. Murphy
Bioinformatics
24
(4), 2008, pp. 569-576
Automated image analysis of protein localization in budding yeast
Shann-Ching Chen
,
Ting Zhao
,
Geoffrey J. Gordon
,
Robert F. Murphy
Bioinformatics
23
(13), 2007, pp. 66-71
High-recall protein entity recognition using a dictionary
Zhenzhen Kou
,
William W. Cohen
,
Robert F. Murphy
Bioinformatics
21
(S1), 2005, pp. 266-273
A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells
Michael V. Boland
,
Robert F. Murphy
Bioinformatics
17
(12), 2001, pp. 1213-1223
Towards a systematics for protein subcellular location: Quantitative description of protein localization patterns and automated analysis of fluorescence microscope images
Robert F. Murphy
,
Michael V. Boland
,
Meel Velliste
Proceedings of the 8th International Conference on Intelligent Systems for Molecular Biology, ISMB'2000 (La Jolla, California, August 16-23, 2000)
, 2000, pp. 251-259