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Implementation of DT2Vec (a novel drug-target interaction via link prediction and network embedding) in Python and R

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Novel Drug-Target Interactions via Link Prediction and Network Embedding

E. Amiri Souri1, R. Laddach1,2, S. N. Karagiannis2,3,L.G. Papageorgiou4, S. Tsoka1

1 Department of Informatics, Faculty of Natural and Mathematical Sciences, King's College London, Bush House, London WC2B 4BG, United Kingdom
2 St. John’s Institute of Dermatology, School of Basic & Medical Biosciences, King’s College London, & NIHR Biomedical Research Centre at Guy’s and St. Thomas’ Hospitals and King’s College London, Guy’s Hospital, King’s College London, London SE1 9RT, United Kingdom
3 Breast Cancer Now Research Unit, School of Cancer & Pharmaceutical Sciences, King’s College London, Guy’s Cancer Centre, London SE1 9RT, United Kingdom
4 Centre for Process Systems Engineering, Department of Chemical Engineering, University College London, Roberts Building, Torrington Place, London WC1E 7JE, United Kingdom

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Implementation of DT2Vec (a novel drug-target interaction via link prediction and network embedding) in Python and R

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