13 citations · 17 across the 3 of their papers we have counts for
3 papers
Multi-modal Representation Learning Enables Accurate Protein Function Prediction in Low-Data Setting
Serbülent Ünsal, Sinem Özdemir, Bünyamin Kasap +4
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.…
SELFormer: Molecular Representation Learning via SELFIES Language Models
Atakan Yüksel, Erva Ulusoy, Atabey Ünlü +1
Automated computational analysis of the vast chemical space is critical for numerous fields of research such as drug discovery and material science. Representation learning techniq…
Democratising Knowledge Representation with BioCypher
Sebastian Lobentanzer, Patrick Aloy, Jan Baumbach +26
Standardising the representation of biomedical knowledge among all researchers is an insurmountable task, hindering the effectiveness of many computational methods. To facilitate h…