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DTi2Vec: Drug–target interaction prediction using network embedding and ensemble learning

Maha A. Thafar, Rawan S. Olayan, Somayah Albaradei, Vladimir B. Bajic, Takashi Gojobori, Magbubah Essack, Xin Gao
2021 Journal of Cheminformatics  
DTi2Vec constructs the heterogeneous network, and then it automatically generates features for each drug and target using the nodes embedding technique.  ...  Here, we present such a method, DTi2Vec, which identifies DTIs using network representation learning and ensemble learning techniques.  ...  Thus, in this study, DTi2Vec addresses the DTI link prediction problem in a heterogeneous network using graph embedding and ensemble learning techniques.  ... 
doi:10.1186/s13321-021-00552-w pmid:34551818 fatcat:xjqvs4b6fbbcjbsznktkwajho4

Omics-based Metastasis Prediction using Machine Learning and Deep Learning

Somayah Albaradei
2022
In this regard, predicting metastasis onset has also been explored using artificial intelligence (AI) approaches that are machine learning (ML), and more recently, deep learning (DL).  ...  Then, we used this knowledge to develop multiple ML/DL models using different omics data types that can accurately and cost-effectively predict if the cancer is in the metastatic state and suggest the  ...  DTi2Vec: Drug-target interaction prediction using network embedding and ensemble learning. Journal of cheminformatics, 13 (1) , pp. 1-18. Thafar, Maha A., Rawan S.  ... 
doi:10.25781/kaust-736cw fatcat:cso5mbnwqna4liokstiinmnxt4