Gene ontology based transfer learning for protein subcellular localization
نویسندگان
چکیده
منابع مشابه
CELLO2GO: A Web Server for Protein subCELlular LOcalization Prediction with Functional Gene Ontology Annotation
CELLO2GO (http://cello.life.nctu.edu.tw/cello2go/) is a publicly available, web-based system for screening various properties of a targeted protein and its subcellular localization. Herein, we describe how this platform is used to obtain a brief or detailed gene ontology (GO)-type categories, including subcellular localization(s), for the queried proteins by combining the CELLO localization-pre...
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Recent years have witnessed much progress in computational modelling for protein subcellular localization. However, the existing sequence-based predictive models demonstrate moderate or unsatisfactory performance, and the gene ontology (GO) based models may take the risk of performance overestimation for novel proteins. Furthermore, many human proteins have multiple subcellular locations, which...
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متن کاملProtein Subcellular Localization Prediction
ORGANIZATION. Section 1. We first provide the motivation for prediction of protein subcellular localization sites, as well as discuss changes being brought about by progress in proteomics. Section 2. After that, we describe the biology of protein subcellular location. In particular, we explain the principle of protein sorting signals. Section 3. Then we present several experimental techniques f...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2011
ISSN: 1471-2105
DOI: 10.1186/1471-2105-12-44