{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T12:22:29Z","timestamp":1777983749018,"version":"3.51.4"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2017,3,2]],"date-time":"2017-03-02T00:00:00Z","timestamp":1488412800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Front. Comput. Sci."],"published-print":{"date-parts":[[2017,4]]},"DOI":"10.1007\/s11704-017-6538-2","type":"journal-article","created":{"date-parts":[[2017,3,2]],"date-time":"2017-03-02T13:17:58Z","timestamp":1488460678000},"page":"243-252","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Deep model-based feature extraction for predicting protein subcellular localizations from bio-images"],"prefix":"10.1007","volume":"11","author":[{"given":"Wei","family":"Shao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong-Bin","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daoqiang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,3,2]]},"reference":[{"issue":"2","key":"6538_CR1","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1038\/nprot.2007.494","volume":"3","author":"K C Chou","year":"2008","unstructured":"Chou K C, Shen H B. Cell-PLoc: a package ofWeb servers for predicting subcellular localization of proteins in various organisms. Nature protocols, 2008, 3(2): 153\u2013162","journal-title":"Nature protocols"},{"issue":"9","key":"6538_CR2","doi-asserted-by":"crossref","first-page":"1224","DOI":"10.1093\/bioinformatics\/btr108","volume":"27","author":"A Pierleoni","year":"2011","unstructured":"Pierleoni A, Martelli P L, Casadio R. MemLoci: predicting subcellular localization of membrane proteins in eukaryotes. Bioinformatics, 2011, 27(9): 1224\u20131230","journal-title":"Bioinformatics"},{"issue":"16","key":"6538_CR3","doi-asserted-by":"crossref","first-page":"2032","DOI":"10.1093\/bioinformatics\/btt320","volume":"29","author":"Y Y Xu","year":"2013","unstructured":"Xu Y Y, Yang F, Zhang Y, Shen H B. An image-based multi-label human protein subcellular localization predictor (iLocator) reveals protein mislocalizations in cancer tissues. Bioinformatics, 2013, 29(16): 2032\u20132040","journal-title":"Bioinformatics"},{"issue":"20","key":"6538_CR4","doi-asserted-by":"crossref","first-page":"3381","DOI":"10.1242\/jcs.089110","volume":"124","author":"MC Hung","year":"2011","unstructured":"Hung MC, Link W. Protein localization in disease and therapy. Journal of Cell Science, 2011, 124(20): 3381\u20133392","journal-title":"Journal of Cell Science"},{"issue":"7","key":"6538_CR5","doi-asserted-by":"crossref","first-page":"1111","DOI":"10.1093\/bioinformatics\/btu772","volume":"31","author":"Y Y Xu","year":"2015","unstructured":"Xu Y Y, Yang F, Zhang Y, Shen H B. Bioimaging-based detection of mislocalized proteins in human cancers by semi-supervised learning. Bioinformatics, 2015, 31(7): 1111\u20131119","journal-title":"Bioinformatics"},{"key":"6538_CR6","volume-title":"Proceedings of the 5th IEEE International Symposium on Biomedical Imaging.","author":"E Glory","year":"2008","unstructured":"Glory E, Newberg J, Murphy R F. Automated comparison of protein subcellular location patterns between images of normal and cancerous tissues. In: Proceedings of the 5th IEEE International Symposium on Biomedical Imaging. 2008"},{"issue":"12","key":"6538_CR7","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1093\/bioinformatics\/bts230","volume":"28","author":"J Li","year":"2012","unstructured":"Li J, Xiong L, Schneider J, Murphy R F. Protein subcellular location pattern classification in cellular images using latent discriminative models. Bioinformatics. 2012, 28(12): 32\u201339","journal-title":"Bioinformatics."},{"issue":"1","key":"6538_CR8","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1093\/bioinformatics\/btv521","volume":"32","author":"W Shao","year":"2016","unstructured":"Shao W, Liu M, Zhang D. Human cell structure-driven model construction for predicting protein subcellular location from biological images. Bioinformatics, 2016, 32(1): 114\u2013121","journal-title":"Bioinformatics"},{"issue":"8","key":"6538_CR9","doi-asserted-by":"crossref","first-page":"1761","DOI":"10.1016\/j.patcog.2011.01.017","volume":"44","author":"M Galar","year":"2011","unstructured":"Galar M, Fern\u00e1ndez A, Barrenechea E, Bustince H, Herrera F. An overview of ensemble methods for binary classifiers in multi-class problems: experimental study on one-vs-one and one-vs-all schemes. Pattern Recognition, 2011, 44(8): 1761\u20131776","journal-title":"Pattern Recognition"},{"key":"6538_CR10","volume-title":"IEEE Transactions on Neural Networks and Learning Systems","author":"B Gu","year":"2016","unstructured":"Gu B, Sun X, Sheng V S. Structural minimax probability machine. IEEE Transactions on Neural Networks and Learning Systems, 2016, doi:10.1109\/TNNLS.2016.2527796"},{"issue":"1","key":"6538_CR11","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1016\/j.ins.2014.10.040","volume":"295","author":"X Z Wen","year":"2015","unstructured":"Wen X Z, Shao L, Xue Y, Fang W. A rapid learning algorithm for vehicle classification. Information Sciences, 2015, 295(1): 395\u2013406","journal-title":"Information Sciences"},{"key":"6538_CR12","volume-title":"Proceedings of the 28th International Conference on Machine Learning.","author":"X Glorot","year":"2011","unstructured":"Glorot X, Bordes A, Bengio Y. Domain adaptation for large-scale sentiment classification: a deep learning approach. In: Proceedings of the 28th International Conference on Machine Learning. 2011"},{"key":"6538_CR13","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1145\/2647868.2654889","volume-title":"Proceedings of the 22nd ACMinternational conference on Multimedia.","author":"Y Jia","year":"2014","unstructured":"Jia Y, Shelhamer E, Donahue J, Karayev S, Long J, Girshick R, Guadarrama S, Darrell, T. Caffe: convolutional architecture for fast feature embedding. In: Proceedings of the 22nd ACMinternational conference on Multimedia. 2014, 675\u2013678"},{"key":"6538_CR14","first-page":"1","volume-title":"Feature Extraction. Studies in Fuzziness and Soft Computing, Vol 207. Springer Berlin Heidelberg","author":"I Guyon","year":"2006","unstructured":"Guyon I, Elissee A. An introduction to feature extraction. In: Guyon I, Nikravesh M, Gunn S, et al. eds. Feature Extraction. Studies in Fuzziness and Soft Computing, Vol 207. Springer Berlin Heidelberg, 2006, 1\u201325"},{"issue":"12","key":"6538_CR15","doi-asserted-by":"crossref","first-page":"1213","DOI":"10.1093\/bioinformatics\/17.12.1213","volume":"17","author":"M V Boland","year":"2001","unstructured":"Boland M V, Murphy R F. A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells. Bioinformatics, 2001, 17(12): 1213\u20131223","journal-title":"Bioinformatics"},{"key":"6538_CR16","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.ins.2016.01.064","volume":"345","author":"M Tahir","year":"2016","unstructured":"Tahir M, Khan A. Protein subcellular localization of fluorescence microscopy images: employing new statistical and Texton based image features and SVM based ensemble classification. Information Sciences An International Journal, 2016, 345(C): 65\u201380","journal-title":"Information Sciences An International Journal"},{"issue":"6","key":"6538_CR17","doi-asserted-by":"crossref","first-page":"2300","DOI":"10.1021\/pr7007626","volume":"7","author":"J Newberg","year":"2008","unstructured":"Newberg J, Murphy R F. A framework for the automated analysis of subcellular patterns in human protein atlas images. Journal of Proteome Research, 2008, 7(6): 2300\u20132308","journal-title":"Journal of Proteome Research"},{"issue":"2","key":"6538_CR18","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.artmed.2010.02.006","volume":"49","author":"L Nanni","year":"2010","unstructured":"Nanni L, Lumini A, Brahnam S. Local binary patterns variants as texture descriptors for medical image analysis. Artificial Intelligence in Medicine, 2010, 49(2): 117\u2013125","journal-title":"Artificial Intelligence in Medicine"},{"issue":"9","key":"6538_CR19","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.neucom.2013.10.034","volume":"131","author":"F Yang","year":"2014","unstructured":"Yang F, Xu Y Y, Wang S T, Shen H B. Image-based classification of protein subcellular location patterns in human reproductive tissue by ensemble learning global and local features. Neurocomputing, 2014, 131(9): 113\u2013123","journal-title":"Neurocomputing"},{"key":"6538_CR20","volume-title":"Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Biomedical Informatics.","author":"A Godil","year":"2013","unstructured":"Godil A, Lian Z, Wagan A. Exploring local features and the Bag-of-Visual-Words approach for bioimage classification. In: Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Biomedical Informatics. 2013"},{"issue":"18","key":"6538_CR21","doi-asserted-by":"crossref","first-page":"2343","DOI":"10.1093\/bioinformatics\/btt392","volume":"29","author":"L P Coelho","year":"2013","unstructured":"Coelho L P, Kangas J D, Naik AW, Osuna-Highley E, Glory-Afshar E, Fuhrman M, Simha R, Berget P B, Jarvik J W, Murphy R F. Determining the subcellular location of new proteins from microscope images using local features. Bioinformatics, 2013, 29(18): 2343\u20132349","journal-title":"Bioinformatics"},{"key":"6538_CR22","first-page":"1097","volume-title":"Proceedings of Advances in Neural Information Processing Systems.","author":"A Krizhevsky","year":"2012","unstructured":"Krizhevsky A, Sutskever I, Hinton G E. Imagenet classification with deep convolutional neural networks. In: Proceedings of Advances in Neural Information Processing Systems. 2012, 1097\u20131105"},{"key":"6538_CR23","doi-asserted-by":"crossref","first-page":"2147","DOI":"10.1145\/2783258.2788575","volume-title":"Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.","author":"Q Sun","year":"2015","unstructured":"Sun Q, Amin M, Yan B, Martell C, Markman V, Bhasin A, Ye J. Transfer learning for bilingual content classification. In: Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2015, 2147\u20132156"},{"issue":"4","key":"6538_CR24","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1074\/mcp.R500009-MCP200","volume":"4","author":"M Uhl\u00e9n","year":"2005","unstructured":"Uhl\u00e9n M, Ponten F. Antibody-based proteomics for human tissue profiling. Molecular and Cellular Proteomics, 2005, 4(4): 384\u2013393","journal-title":"Molecular and Cellular Proteomics"},{"issue":"6220","key":"6538_CR25","doi-asserted-by":"crossref","first-page":"1260419","DOI":"10.1126\/science.1260419","volume":"347","author":"M Uhl\u00e9n","year":"2015","unstructured":"Uhl\u00e9n M, Fagerberg L, Hallstr\u00f6m B M, Lindskog C, Oksvold P, Mardinoglu A, Sivertsson A, Kampf C, Sj\u00f6stedt E, Asplund A, Olsson I, Edlund K, Lundberg E, Navani S, Szigyarto C A K, Odeberg J, Djureinovic D, Takanen J O, Hober S, Alm T, Edqvist P H, Berling H, Tegel H, Mulder J, Rockberg J, Nilsson P, Schwenk J M, Hamsten M, von Feilitzen K, Forsberg M, Persson L, Johansson F, Zwahlen M, von Heijne G, Nielsen J, Pont\u00e9n F. Tissue-based map of the human proteome. Science, 2015, 347(6220): 1260419","journal-title":"Science"},{"issue":"12","key":"6538_CR26","doi-asserted-by":"crossref","first-page":"1248","DOI":"10.1038\/nbt1210-1248","volume":"28","author":"M Uhl\u00e9n","year":"2010","unstructured":"Uhl\u00e9n M, Oksvold P, Fagerber L, Lundberg E, Jonasson K, Forsberg M, Zwahlen M, Kampf C, Wester K, Hober S, Wernerus H, Bj\u00f6rling L, Ponten F. Towards a knowledge-based human protein atlas. Nature Biotechnology, 2010, 28(12): 1248\u20131250","journal-title":"Nature Biotechnology"},{"issue":"1","key":"6538_CR27","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1007\/s00778-015-0391-4","volume":"25","author":"W Wang","year":"2016","unstructured":"Wang W, Yang X, Ooi B C, Zhang D, Zhuang Y. Effective deep learning-based multi-modal retrieval. The VLDB Journal, 2016, 25(1): 79\u2013101","journal-title":"The VLDB Journal"},{"issue":"5","key":"6538_CR28","doi-asserted-by":"crossref","first-page":"807","DOI":"10.1007\/s11704-014-3317-1","volume":"8","author":"Z Pan","year":"2014","unstructured":"Pan Z, Deng Z T. Dimensionality reduction via kernel sparse representation. Frontiers of Computer Science. 2014, 8(5): 807\u2013815","journal-title":"Frontiers of Computer Science."},{"issue":"5","key":"6538_CR29","doi-asserted-by":"crossref","first-page":"856","DOI":"10.1007\/s11704-015-4538-7","volume":"10","author":"Y Y Zhang","year":"2016","unstructured":"Zhang Y Y, Zhang J C, Pan Z C, Zhang D Q. Multi-view dimensionality reduction via canonical random correlation analysis. Frontiers of Computer Science, 2016, 10(5): 856\u2013869","journal-title":"Frontiers of Computer Science"},{"issue":"1","key":"6538_CR30","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","volume":"58","author":"R Tibshirani","year":"1996","unstructured":"Tibshirani R. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society Series B (Methodological), 1996, 58(1): 267\u2013288","journal-title":"Journal of the Royal Statistical Society Series B (Methodological)"},{"key":"6538_CR31","doi-asserted-by":"crossref","first-page":"276","DOI":"10.3115\/981658.981695","volume-title":"Proceedings of the 33rd Annual Meeting on Association for Computational Linguistics.","author":"D M Magerman","year":"1995","unstructured":"Magerman D M. Statistical decision-tree models for parsing. In: Proceedings of the 33rd Annual Meeting on Association for Computational Linguistics. 1995, 276\u2013283"},{"key":"6538_CR32","volume-title":"Neural Network Design","author":"M T Hagan","year":"1996","unstructured":"Hagan M T, Demuth H B, Beale M H, De Jes\u00fas O. Neural Network Design. Boston: PWS Publishing Company, 1996"},{"issue":"1","key":"6538_CR33","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1613\/jair.105","volume":"2","author":"T G Dietterich","year":"1995","unstructured":"Dietterich T G, Bakiri G. Solving multiclass learning problems via error-correcting output codes. Journal of Artificial Intelligence Research, 1995, 2(1): 263\u2013286","journal-title":"Journal of Artificial Intelligence Research"},{"issue":"6","key":"6538_CR34","doi-asserted-by":"crossref","first-page":"1041","DOI":"10.1109\/TPAMI.2008.38","volume":"30","author":"S Escalera","year":"2008","unstructured":"Escalera S, Tax DMJ, Pujol O, Radeva P, Duin R P. Subclass problemdependent design for error-correcting output codes. IEEE Transactions on Pattern Analysis andMachine Intelligence, 2008, 30(6): 1041\u20131054","journal-title":"IEEE Transactions on Pattern Analysis andMachine Intelligence"},{"issue":"6","key":"6538_CR35","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1109\/TPAMI.2006.116","volume":"28","author":"O Pujol","year":"2006","unstructured":"Pujol O, Radeva P, Vitria J. Discriminant ECOC: a heuristic method for application dependent design of error correcting output codes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(6): 1007\u20131012","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"3","key":"6538_CR36","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1145\/1961189.1961199","volume":"2","author":"C C Chang","year":"2011","unstructured":"Chang C C, Lin C J. LIBSVM: a library for support vector machines. ACM Transactions on Intelligent Systems and Technology, 2011, 2(3): 27\u201332","journal-title":"ACM Transactions on Intelligent Systems and Technology"},{"issue":"2","key":"6538_CR37","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1109\/TCBB.2009.82","volume":"8","author":"T H Lin","year":"2011","unstructured":"Lin T H, Murphy R F, Bar-Joseph Z. Discriminative motif finding for predicting protein subcellular localization. IEEE\/ACMTransactions on Computational Biology and Bioinformatics, 2011, 8(2): 441\u2013451","journal-title":"IEEE\/ACMTransactions on Computational Biology and Bioinformatics"},{"issue":"9","key":"6538_CR38","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1007\/s10930-009-9205-0","volume":"28","author":"L Zhu","year":"2009","unstructured":"Zhu L, Yang J, Shen H B. Multi label learning for prediction of human protein subcellular localizations. The Protein Journal, 2009, 28(9): 384\u2013390","journal-title":"The Protein Journal"},{"issue":"2","key":"6538_CR39","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/j.ab.2009.07.046","volume":"394","author":"H B Shen","year":"2009","unstructured":"Shen H B, Chou K C. A top-down approach to enhance the power of predicting human protein subcellular localization: Hum-mPLoc 2.0. Analytical Biochemistry, 2009, 394(2): 269\u2013274","journal-title":"Analytical Biochemistry"},{"issue":"3","key":"6538_CR40","doi-asserted-by":"crossref","first-page":"856","DOI":"10.1016\/j.neuroimage.2011.01.008","volume":"55","author":"D Zhang","year":"2011","unstructured":"Zhang D, Wang Y, Zhou L, Yuan H, Shen D, the Alzheimer\u2019s Disease Neuroimaging Initiative. Multimodal classification of Alzheimer\u2019s disease and mild cognitive impairment. Neuroimage, 2011, 55(3): 856\u2013867","journal-title":"Neuroimage"}],"container-title":["Frontiers of Computer Science"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11704-017-6538-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11704-017-6538-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11704-017-6538-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T12:48:38Z","timestamp":1692708518000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11704-017-6538-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3,2]]},"references-count":40,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2017,4]]}},"alternative-id":["6538"],"URL":"https:\/\/doi.org\/10.1007\/s11704-017-6538-2","relation":{},"ISSN":["2095-2228","2095-2236"],"issn-type":[{"value":"2095-2228","type":"print"},{"value":"2095-2236","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,3,2]]}}}