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  • Jian Guo, Yuanlie Lin and Zhirong Sun, A novel method for protein subcellular localization based on boosting and probabilistic neural network, Proceedings of the second conference on Asia-Pacific bioinformatics, Dunedin, New Zealand, 2004. [Abstract]

  • Scott MS, Thomas DY, Hallett Mt, Predicting subcellular localization via protein motif co-occurrence, Genome Res. 2004 Oct;14(10A):1957-66. [Abstract]

  • Zhengdeng Lei and Yang Dai, A Novel Approach for Prediction of Protein Subcellular Localization from Sequence Using Fourier Analysis and Support Vector Machines, Proceedings of 4th ACM SIGKDD Workshop on Data Mining in Bioinformatics, Seattle, August 22, 2004, pp. 11-17. [Abstract]

  • Wrzeszczynski KO and Rost B., Annotating proteins from endoplasmic reticulum and Golgi apparatus in eukaryotic proteomes, Cell Mol Life Sci. 2004 Jun; 61(11):1341-53 [Abstract]

  • Manoj Bhasin and G. P. S. Raghava, ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST, Nucl. Acids. Res. 2004 32: W414-W419. [Abstract]

  • Rajesh Nair and Burkhard Rost, LOCnet and LOCtarget: sub-cellular localization for structural genomics targets, Nucl. Acids. Res. 2004 32: W517-W521. [Abstract]

  • Kall L, Krogh A, Sonnhammer EL., A combined transmembrane topology and signal peptide prediction method, J Mol Biol. 2004 May 14;338(5):1027-36. [Abstract]

  • Cui Q, Jiang T, Liu B, Ma S., Esub8: a novel tool to predict protein subcellular localizations in eukaryotic organisms, BMC Bioinformatics. 2004 May 27; 5(1):66. [Abstract]

  • Yuan Z, Mattick JS, Teasdale RD, SVMtm: support vector machines to predict transmembrane segments, J Comput Chem. 2004 Apr 15; 25(5):632-6 [Abstract]

  • Yu-Dong Cai and Kuo-Chen Chou, Predicting subcellular localization of proteins in a hybridization space, Bioinformatics 2004 20: 1151-1156; [Abstract]

  • Yu CS, Lin CJ, Hwang JK, Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositions, Protein Sci. 2004 May;13(5):1402-6, [Abstract]

  • Z. Lu, D. Szafron, R. Greiner, P. Lu, D.S. Wishart, B. Poulin, J. Anvik, C. Macdonell, and R. Eisner, Predicting subcellular localization of proteins using machine-learned classifiers, Bioinformatics 2004 20: 547-556; [Abstract]

  • Huang Y, Li Y, Prediction of protein subcellular locations using fuzzy k-NN method, Bioinformatics. 2004 Jan 1;20(1):21-8, [Abstract]

  • Guo T, Hua S, Ji X, Sun Z, DBSubLoc: database of protein subcellular localization, Nucleic Acids Res. 2004 Jan 1;32 Database issue:D122-4, [Abstract]

  • Cai YD and Chou KC, Predicting 22 protein localizations in budding yeast, Biochem Biophys Res Commun. 2004 Oct 15;323(2):425-8. [Abstract]