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pro vyhledávání: '"Gökhan Özsarı"'
Autor:
A Samet Özdilek, Ahmet Atakan, Gökhan Özsarı, Aybar Acar, M Volkan Atalay, Tunca Doğan, Ahmet S Rifaioğlu
Publikováno v:
Briefings in Bioinformatics. 24
As the number of protein sequences increases in biological databases, computational methods are required to provide accurate functional annotation with high coverage. Although several machine learning methods have been proposed for this purpose, ther
Autor:
Gökhan Özsarı, Ahmet Sureyya Rifaioglu, Ahmet Atakan, Tunca Doğan, Maria Jesus Martin, Rengül Çetin Atalay, Volkan Atalay
Publikováno v:
Bioinformatics (Oxford, England). 38(17)
Summary Accurate prediction of the subcellular locations (SLs) of proteins is a critical topic in protein science. In this study, we present SLPred, an ensemble-based multi-view and multi-label protein subcellular localization prediction tool. For a