Research Issues in Protein Location Image Databases

Summary: Automated location proteomics on fluorescence images using features to train organelle classifiers and cluster proteins by patterns. Indexing and content-based retrieval of large image sets enable proteome-wide localization queries across conditions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 3795
Venue: SIGMOD
Year: 2005
Pagerank: -
Overall Rank: 13,910 | 4.90%
DOI: 10.1145/1066157.1066307

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Authors

1. Robert F. Murphy (Carnegie Mellon University)
2. Christos Faloutsos (Carnegie Mellon University)

BibTeX Citation

@inproceedings{murphy_sigmod05,
        title = {{Research Issues in Protein Location Image Databases}},
        author = {Murphy, Robert F. and Faloutsos, Christos},
        series = {{SIGMOD} '05},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1066157.1066307},
        url = {https://dl.acm.org/doi/10.1145/1066157.1066307},
        year = {2005}
}

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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