Prediction of protein subcellular localization by weighted gene ontology terms.
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[1] Paul Horton,et al. Nucleic Acids Research Advance Access published May 21, 2007 WoLF PSORT: protein localization predictor , 2007 .
[2] Hwee Tou Ng,et al. Feature selection, perceptron learning, and a usability case study for text categorization , 1997, SIGIR '97.
[3] Maria Simi,et al. Experiments on the Use of Feature Selection and Negative Evidence in Automated Text Categorization , 2000, ECDL.
[4] Yang Dai,et al. Assessing protein similarity with Gene Ontology and its use in subnuclear localization prediction , 2006, BMC Bioinformatics.
[5] S. Brunak,et al. Predicting subcellular localization of proteins based on their N-terminal amino acid sequence. , 2000, Journal of molecular biology.
[6] Burkhard Rost,et al. Inferring sub-cellular localization through automated lexical analysis , 2002, ISMB.
[7] K. Chou,et al. Prediction of protein subcellular locations by GO-FunD-PseAA predictor. , 2004, Biochemical and biophysical research communications.
[8] Hagit Shatkay,et al. SherLoc2: a high-accuracy hybrid method for predicting subcellular localization of proteins. , 2009, Journal of proteome research.
[9] B. Rost,et al. Mimicking cellular sorting improves prediction of subcellular localization. , 2005, Journal of molecular biology.
[10] Oliver Kohlbacher,et al. MultiLoc: prediction of protein subcellular localization using N-terminal targeting sequences, sequence motifs and amino acid composition , 2006, Bioinform..
[11] S. Brunak,et al. Locating proteins in the cell using TargetP, SignalP and related tools , 2007, Nature Protocols.
[12] Piero Fariselli,et al. BaCelLo: a balanced subcellular localization predictor , 2006, ISMB.
[13] Thomas L. Madden,et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. , 1997, Nucleic acids research.
[14] Rachael P. Huntley,et al. The GOA database in 2009—an integrated Gene Ontology Annotation resource , 2008, Nucleic Acids Res..
[15] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[16] Oliver Kohlbacher,et al. MultiLoc2: integrating phylogeny and Gene Ontology terms improves subcellular protein localization prediction , 2009, BMC Bioinformatics.
[17] M. Ashburner,et al. Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.
[18] Hagit Shatkay,et al. Pacific Symposium on Biocomputing 13:604-615(2008) EPILOC: A (WORKING) TEXT-BASED SYSTEM FOR PREDICTING PROTEIN SUBCELLULAR LOCATION , 2022 .
[19] Yiming Yang,et al. A Comparative Study on Feature Selection in Text Categorization , 1997, ICML.
[20] Shiow-Fen Hwang,et al. ProLoc-GO: Utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization , 2008, BMC Bioinformatics.
[21] Robert D. Finn,et al. InterPro: the integrative protein signature database , 2008, Nucleic Acids Res..
[22] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[23] Minoru Kanehisa,et al. Prediction of protein subcellular locations by support vector machines using compositions of amino acids and amino acid pairs , 2003, Bioinform..
[24] Ao Li,et al. LOCSVMPSI: a web server for subcellular localization of eukaryotic proteins using SVM and profile of PSI-BLAST , 2005, Nucleic Acids Res..
[25] R. Casadio,et al. The prediction of protein subcellular localization from sequence: a shortcut to functional genome annotation. , 2008, Briefings in functional genomics & proteomics.
[26] Dunja Mladenic,et al. Feature Subset Selection in Text-Learning , 1998, ECML.
[27] Fabrizio Sebastiani,et al. Machine learning in automated text categorization , 2001, CSUR.
[28] Fabrizio Sebastiani,et al. Supervised term weighting for automated text categorization , 2003, SAC '03.
[29] Duane Szafron,et al. Improving subcellular localization prediction using text classification and the gene ontology , 2008, Bioinform..
[30] Hagit Shatkay,et al. SherLoc: high-accuracy prediction of protein subcellular localization by integrating text and protein sequence data. , 2007, Bioinformatics.