RCDR: a recommender based method for computational drug repurposing

SS Sadeghi, MR Keyvanpour - 2019 5th conference on …, 2019 - ieeexplore.ieee.org
Computational Drug repurposing is the problem of finding new uses for known drugs. To
achieve this goal, a significant number of computational methods have been proposed …

DTIP: A comparative analytical framework for chemogenomic drugtarget interactions prediction

F Haddadi, MR Kayvanpour - Current Computer-Aided Drug …, 2021 - ingentaconnect.com
Background: Prediction of drug-target interactions is an essential step in drug discovery.
Given drug-target interactions network, the objective of this task is to predict probable …

[PDF][PDF] PULBLM: A Computational Positive-Unlabeled Learning Method for Drug-Target Interactions Prediction

F Haddadi, MR Keyvanpour - Proceedings of the 10th International …, 2019 - researchgate.net
Drug-target interactions prediction is an essential prerequisite for drug discovery and human
medicine. Computational drug-target interactions prediction methods are low-cost …

Embedding Knowledge Graph through Triple Base Neural Network and Positive Samples

S Haghani, MR Keyvanpour - Computer and Knowledge Engineering, 2022 - cke.um.ac.ir
Representation learning on a knowledge graph aims to capture patterns in the knowledge
graph as low-dimensional dense distributed representation vectors in the continuous …