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DTI-CDF: a CDF model towards the prediction of DTIs based on hybrid features [article]

Yanyi Chu, Yufang Zhang, Wei Wang, Xiaoqi Shan, Xiangeng Wang, Yi Xiong, Dongqing Wei
2019 bioRxiv   pre-print
In this study, we aimed to develop a novel DTIs prediction method, named DTI-CDF, for improving the prediction precision based on a cascade deep forest model which integrates hybrid features, including  ...  Drug-target interactions play a crucial role in target-based drug discovery and exploitation.  ...  Motivated by the previous studies [38, 39] , we propose a cascade deep forest (CDF) model that further improves the performance of predicting DTIs.  ... 
doi:10.1101/657973 fatcat:xjbejaosifgctpqymor6q2ssmq

Genomic Variation Prediction: A Summary From Different Views

Xiuchun Lin
2021 Frontiers in Cell and Developmental Biology  
In addition, multiple variation tolerance prediction models are studied and integrated, and new ideas for structural variation detection based on deep information mining are explored.  ...  To understand the mechanisms of diseases, find pathogenic targets, and carry out personalized precision medicine, it is critical to detect such variations.  ...  ., Kaushik, A. C., Wang, X., Wang, W., Zhang, Y., Shan, X., et al. (2021). DTI-CDF: a cascade Deep forest Model towards the Prediction of Drug-Target Interactions Based on Hybrid Features.  ... 
doi:10.3389/fcell.2021.795883 pmid:34901036 pmcid:PMC8656232 fatcat:atzupkiqmrafdl7rfwwk4smuma