TY - JOUR AU - Xiao, X. AU - Wu, Z. C. AU - Chou, K. C. PY - 2011 DA - 2011// TI - A multi-label classifier for predicting the subcellular localization of gram-negative bacterial proteins with both single and multiple sites JO - PLoS One VL - 6 UR - https://doi.org/10.1371/journal.pone.0020592 DO - 10.1371/journal.pone.0020592 ID - Xiao2011 ER - TY - JOUR AU - Chou, K. C. AU - Elrod, D. W. PY - 1999 DA - 1999// TI - Protein subcellular location prediction JO - Protein engineering VL - 12 UR - https://doi.org/10.1093/protein/12.2.107 DO - 10.1093/protein/12.2.107 ID - Chou1999 ER - TY - JOUR AU - Gardy, J. L. AU - Brinkman, F. S. L. PY - 2006 DA - 2006// TI - Methods for predicting bacterial protein subcellular localization JO - Nature Reviews Microbiology VL - 4 UR - https://doi.org/10.1038/nrmicro1494 DO - 10.1038/nrmicro1494 ID - Gardy2006 ER - TY - JOUR AU - Nakai, K. AU - Kanehisa, M. PY - 1991 DA - 1991// TI - Expert system for predicting protein localization sites in gram-negative bacteria JO - Proteins: Structure, Function, and Bioinformatics VL - 11 UR - https://doi.org/10.1002/prot.340110203 DO - 10.1002/prot.340110203 ID - Nakai1991 ER - TY - JOUR AU - Shen, H. B. AU - Chou, K. C. PY - 2007 DA - 2007// TI - Virus-ploc: A fusion classifier for predicting the subcellular localization of viral proteins within host and virus-infected cells JO - Biopolymers VL - 85 UR - https://doi.org/10.1002/bip.20640 DO - 10.1002/bip.20640 ID - Shen2007 ER - TY - JOUR AU - Mohabatkar, H. AU - Beigi, M. M. AU - Esmaeili, A. PY - 2011 DA - 2011// TI - Prediction of gaba a receptor proteins using the concept of chou's pseudo-amino acid composition and support vector machine JO - Journal of Theoretical Biology VL - 281 UR - https://doi.org/10.1016/j.jtbi.2011.04.017 DO - 10.1016/j.jtbi.2011.04.017 ID - Mohabatkar2011 ER - TY - JOUR AU - Mohabatkar, H. AU - Beigi, M. M. AU - Abdolahi, K. AU - Mohsenzadeh, S. PY - 2013 DA - 2013// TI - Prediction of allergenic proteins by means of the concept of chou's pseudo amino acid composition and a machine learning approach JO - Medicinal Chemistry VL - 9 UR - https://doi.org/10.2174/157340613804488341 DO - 10.2174/157340613804488341 ID - Mohabatkar2013 ER - TY - JOUR AU - Huang, C. AU - Yuan, J. PY - 2013 DA - 2013// TI - Using radial basis function on the general form of chou's pseudo amino acid composition and pssm to predict subcellular locations of proteins with both single and multiple sites JO - Biosystems VL - 113 UR - https://doi.org/10.1016/j.biosystems.2013.04.005 DO - 10.1016/j.biosystems.2013.04.005 ID - Huang2013 ER - TY - JOUR AU - Shen, H. B. AU - Chou, K. C. PY - 2010 DA - 2010// TI - Gneg-mploc: a top-down strategy to enhance the quality of predicting subcellular localization of gram-negative bacterial proteins JO - Journal of Theoretical Biology VL - 264 UR - https://doi.org/10.1016/j.jtbi.2010.01.018 DO - 10.1016/j.jtbi.2010.01.018 ID - Shen2010 ER - TY - JOUR AU - Ashburner, M. AU - Ball, C. A. AU - Blake, J. A. AU - Botstein, D. AU - Butler, H. AU - Cherry, J. M. AU - Davis, A. P. AU - Dolinski, K. AU - Dwight, S. S. AU - Eppig, J. T. PY - 2000 DA - 2000// TI - Gene ontology: tool for the unification of biology JO - Nature genetics VL - 25 UR - https://doi.org/10.1038/75556 DO - 10.1038/75556 ID - Ashburner2000 ER - TY - STD TI - Chou KC, Shen HB: Cell-ploc 2.0: An improved package of web-servers for predicting subcellular localization of proteins in various organisms. Engineering. 2010, 2 (10): ID - ref11 ER - TY - JOUR AU - Hu, Y. AU - Li, T. AU - Sun, J. AU - Tang, S. AU - Xiong, W. AU - Li, D. AU - Chen, G. AU - Cong, P. PY - 2012 DA - 2012// TI - Predicting gram-positive bacterial protein subcellular localization based on localization motifs JO - Journal of theoretical biology VL - 308 UR - https://doi.org/10.1016/j.jtbi.2012.05.031 DO - 10.1016/j.jtbi.2012.05.031 ID - Hu2012 ER - TY - JOUR AU - Mei, S. PY - 2012 DA - 2012// TI - Predicting plant protein subcellular multi-localization by chou's pseaac formulation based multi-label homolog knowledge transfer learning JO - Journal of theoretical biology VL - 310 UR - https://doi.org/10.1016/j.jtbi.2012.06.028 DO - 10.1016/j.jtbi.2012.06.028 ID - Mei2012 ER - TY - JOUR AU - Chou, K. C. AU - Shen, H. B. PY - 2010 DA - 2010// TI - Plant-mploc: a top-down strategy to augment the power for predicting plant protein subcellular localization JO - PloS one VL - 5 UR - https://doi.org/10.1371/journal.pone.0011335 DO - 10.1371/journal.pone.0011335 ID - Chou2010 ER - TY - JOUR AU - Shen, H. B. AU - Chou, K. C. PY - 2007 DA - 2007// TI - Gpos-ploc: an ensemble classifier for predicting subcellular localization of gram-positive bacterial proteins JO - Protein Engineering Design and Selection VL - 20 UR - https://doi.org/10.1093/protein/gzl053 DO - 10.1093/protein/gzl053 ID - Shen2007 ER - TY - JOUR AU - Chou, K. C. AU - Shen, S. B. PY - 2006 DA - 2006// TI - Large-scale predictions of gram-negative bacterial protein subcellular locations JO - Journal of Proteome Research VL - 5 UR - https://doi.org/10.1021/pr060404b DO - 10.1021/pr060404b ID - Chou2006 ER - TY - JOUR AU - Dehzangi, A. AU - Paliwal, K. K. AU - Sharma, A. AU - Dehzangi, O. AU - Sattar, A. PY - 2013 DA - 2013// TI - A combination of feature extraction methods with an ensemble of different classifiers for protein structural class prediction problem JO - IEEE Transaction on Computational Biology and Bioinformatics (TCBB) VL - 10 UR - https://doi.org/10.1109/TCBB.2013.65 DO - 10.1109/TCBB.2013.65 ID - Dehzangi2013 ER - TY - JOUR AU - Mathura, V. S. AU - Kolippakkam, D. PY - 2005 DA - 2005// TI - Apdbase: Amino acid physico-chemical properties database JO - Bioinformation VL - 12 UR - https://doi.org/10.6026/97320630001002 DO - 10.6026/97320630001002 ID - Mathura2005 ER - TY - JOUR AU - Gromiha, M. M. PY - 2005 DA - 2005// TI - A statistical model for predicting protein folding rates from amino acid sequence with structural class information JO - Journal of Chemical Information and Modeling VL - 45 UR - https://doi.org/10.1021/ci049757q DO - 10.1021/ci049757q ID - Gromiha2005 ER - TY - CHAP AU - Dehzangi, A. AU - Sattar, A. PY - 2013 DA - 2013// TI - Protein fold recognition using segmentation-based feature extraction model BT - Proceedings of the 5th Asian Conference on Intelligent Information and Database Systems. ACIIDS05 Springer UR - https://doi.org/10.1007/978-3-642-36546-1_36 DO - 10.1007/978-3-642-36546-1_36 ID - Dehzangi2013 ER - TY - JOUR AU - Sharma, A. AU - Paliwal, K. K. AU - Dehzangi, A. AU - Lyons, J. AU - Imoto, S. AU - Miyano, S. PY - 2013 DA - 2013// TI - A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition JO - BMC Bioinformatics VL - 14 ID - Sharma2013 ER - TY - CHAP AU - Dehzangi, A. AU - Paliwal, K. K. AU - Sharma, A. AU - Lyons, J. AU - Sattar, A. PY - 2013 DA - 2013// TI - Protein fold recognition using an overlapping segmentation approach and a mixture of feature extraction models BT - AI 2013: Advances in Artificial Intelligence, Springer UR - https://doi.org/10.1007/978-3-319-03680-9_4 DO - 10.1007/978-3-319-03680-9_4 ID - Dehzangi2013 ER - TY - CHAP AU - Dehzangi, A. AU - Sharma, A. AU - Lyons, J. AU - Paliwal, K. K. AU - Sattar, A. PY - 2015 DA - 2015// TI - A mixture of physicochemical and evolutionary-based feature extraction approaches for protein fold recognition BT - International Journal of Data Mining and Bioinformatics ID - Dehzangi2015 ER - TY - CHAP AU - Dehzangi, A. AU - Sattar, A. PY - 2013 DA - 2013// TI - Ensemble of diversely trained support vector machines for protein fold recognition BT - Proceedings of the 5th Asian Conference on Intelligent Information and Database Systems. ACIIDS05, Springer UR - https://doi.org/10.1007/978-3-642-36546-1_35 DO - 10.1007/978-3-642-36546-1_35 ID - Dehzangi2013 ER - TY - CHAP AU - Dehzangi, A. AU - Paliwal, K. K. AU - Lyons, J. AU - Sharma, A. AU - Sattar, A. PY - 2013 DA - 2013// TI - Enhancing protein fold prediction accuracy using evolutionary and structural features BT - Proceeding of the Eighth IAPR International Conference on Pattern Recognition in Bioinformatics. PRIB ID - Dehzangi2013 ER - TY - JOUR AU - Altschul, S. F. AU - Madden, T. L. AU - Schaffer, A. A. AU - Zhang, J. H. AU - Zhang, Z. AU - Miller, W. AU - Lipman, D. J. PY - 1997 DA - 1997// TI - Gapped blast and psi-blast: a new generation of protein database search programs JO - Nucleic Acids Research VL - 17 UR - https://doi.org/10.1093/nar/25.17.3389 DO - 10.1093/nar/25.17.3389 ID - Altschul1997 ER - TY - JOUR AU - Dehzangi, A. AU - Phon-Amnuaisuk, S. PY - 2011 DA - 2011// TI - Fold prediction problem: The application of new physical and physicochemical-based features JO - Protein and Peptide Letters VL - 18 UR - https://doi.org/10.2174/092986611794475101 DO - 10.2174/092986611794475101 ID - Dehzangi2011 ER - TY - JOUR AU - Chou, K. C. PY - 2011 DA - 2011// TI - Some remarks on protein attribute prediction and pseudo amino acid composition JO - Journal of Theoretical Biology VL - 273 UR - https://doi.org/10.1016/j.jtbi.2010.12.024 DO - 10.1016/j.jtbi.2010.12.024 ID - Chou2011 ER - TY - JOUR AU - Breiman, L. PY - 1996 DA - 1996// TI - Bagging predictors JO - Machine Learning VL - 24 ID - Breiman1996 ER - TY - JOUR AU - Rodriguez, J. J. AU - Kuncheva, L. I. AU - Alonso, C. J. PY - 2006 DA - 2006// TI - Rotation forest: A new classifier ensemble method JO - Pattern Analysis and Machine Intelligence, IEEE Transactions VL - 28 UR - https://doi.org/10.1109/TPAMI.2006.211 DO - 10.1109/TPAMI.2006.211 ID - Rodriguez2006 ER - TY - JOUR AU - Dehzangi, A. AU - Karamizadeh, S. PY - 2011 DA - 2011// TI - Solving protein fold prediction problem using fusion of heterogeneous classifiers JO - INFORMATION, An International Interdisciplinary Journal VL - 14 ID - Dehzangi2011 ER - TY - CHAP AU - Dehzangi, A. AU - Phon-Amnuaisuk, S. AU - Manafi, M. AU - Safa, S. PY - 2010 DA - 2010// TI - Using rotation forest for protein fold prediction problem: An empirical study BT - Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics UR - https://doi.org/10.1007/978-3-642-12211-8_19 DO - 10.1007/978-3-642-12211-8_19 ID - Dehzangi2010 ER - TY - BOOK AU - Witten, I. AU - Frank, E. PY - 2005 DA - 2005// TI - Data Mining: Practical Machine Learning Tools and Techniques PB - Morgan Kaufmann CY - San Francisco ID - Witten2005 ER - TY - CHAP AU - Dehzangi, A. AU - Phon-Amnuaisuk, S. AU - Ng, K. H. AU - Mohandesi, E. PY - 2009 DA - 2009// TI - Protein fold prediction problem using ensemble of classifiers BT - Proceedings of the 16th International Conference on Neural Information Processing: Part II. ICONIP '09 UR - https://doi.org/10.1007/978-3-642-10684-2_56 DO - 10.1007/978-3-642-10684-2_56 ID - Dehzangi2009 ER - TY - JOUR AU - Pacharawongsakda, E. AU - Theeramunkong, T. PY - 2013 DA - 2013// TI - Predict subcellular locations of singleplex and multiplex proteins by semi-supervised learning and dimension-reducing general mode of chou's pseaac JO - IEEE transactions on nanobioscience VL - 12 UR - https://doi.org/10.1109/TNB.2013.2272014 DO - 10.1109/TNB.2013.2272014 ID - Pacharawongsakda2013 ER -