Zobrazeno 1 - 1
of 1
pro vyhledávání: '"Kalaycı, M. Erşan"'
Multi-modal Representation Learning Enables Accurate Protein Function Prediction in Low-Data Setting
Autor:
Ünsal, Serbülent, Özdemir, Sinem, Kasap, Bünyamin, Kalaycı, M. Erşan, Turhan, Kemal, Doğan, Tunca, Acar, Aybar C.
In this study, we propose HOPER (HOlistic ProtEin Representation), a novel multimodal learning framework designed to enhance protein function prediction (PFP) in low-data settings. The challenge of predicting protein functions is compounded by the li
Externí odkaz:
http://arxiv.org/abs/2412.08649
