Karim Abbasi
Karim Abbasi
Postdoctoral Research Fellow at Sharif University of Technology
Geverifieerd e-mailadres voor sharif.edu - Homepage
Geciteerd door
Geciteerd door
DeepCDA: Deep Cross-Domain Compound-Protein Affinity Prediction through LSTM and Convolutional Neural Networks
K Abbasi, P Razzaghi, A Poso, M Amanlou, JB Ghasemi, ...
Bioinformatics, 2020
Deep learning in drug target interaction prediction: current and future perspectives
K Abbasi, P Razzaghi, A Poso, S Ghanbari-Ara, A Masoudi-Nejad
Current Medicinal Chemistry 28 (11), 2100-2113, 2021
Deep transferable compound representation across domains and tasks for low data drug discovery
K Abbasi, A Poso, J Ghasemi, M Amanlou, A Masoudi-Nejad
Journal of chemical information and modeling 59 (11), 4528-4539, 2019
Transfer subspace learning via low-rank and discriminative reconstruction matrix
P Razzaghi, P Razzaghi, K Abbasi
Knowledge-based systems 163, 174-185, 2019
TripletMultiDTI: multimodal representation learning in drug-target interaction prediction with triplet loss function
A Dehghan, P Razzaghi, K Abbasi, S Gharaghani
Expert Systems with Applications 232, 120754, 2023
AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders
SZ Sajadi, MA Zare Chahooki, S Gharaghani, K Abbasi
BMC bioinformatics 22, 1-19, 2021
DeepTraSynergy: drug combinations using multimodal deep learning with transformers
F Rafiei, H Zeraati, K Abbasi, JB Ghasemi, M Parsaeian, ...
Bioinformatics 39 (8), btad438, 2023
Multimodal brain tumor detection using multimodal deep transfer learning
P Razzaghi, K Abbasi, M Shirazi, S Rashidi
Applied Soft Computing 129, 109631, 2022
Modality adaptation in multimodal data
P Razzaghi, K Abbasi, M Shirazi, N Shabani
Expert Systems with Applications 179, 115126, 2021
Learning Spatial Hierarchies of High-level Features in Deep Neural Network
P Razzaghi, K Abbasi, P Bayat
Journal of Visual Communication and Image Representation, 2020
DeepCompoundNet: enhancing compound–protein interaction prediction with multimodal convolutional neural networks
F Palhamkhani, M Alipour, A Dehnad, K Abbasi, P Razzaghi, JB Ghasemi
Journal of Biomolecular Structure and Dynamics, 1-10, 2023
CCL-DTI: contributing the contrastive loss in drug–target interaction prediction
A Dehghan, K Abbasi, P Razzaghi, H Banadkuki, S Gharaghani
BMC bioinformatics 25 (1), 48, 2024
Multivariate pattern recognition by machine learning methods
P Razzaghi, K Abbasi, JB Ghasemi
Machine Learning and Pattern Recognition Methods in Chemistry from …, 2023
A deep learning-based framework for predicting survival-associated groups in colon cancer by integrating multi-omics and clinical data
S Salimy, H Lanjanian, K Abbasi, M Salimi, A Najafi, L Tapak, ...
Heliyon 9 (7), 2023
Incorporating Part-whole Hierarchies into Fully Convolutional Network for Scene Parsing
K Abbasi, P Razzaghi
Expert Systems with Applications, 2020
CFSSynergy: Combining Feature-Based and Similarity-Based Methods for Drug Synergy Prediction
F Rafiei, H Zeraati, K Abbasi, P Razzaghi, JB Ghasemi, M Parsaeian, ...
Journal of Chemical Information and Modeling 64 (7), 2577-2585, 2024
PLA-SGCN: Protein-Ligand Binding Affinity Prediction by Integrating Similar Pairs and Semi-supervised Graph Convolutional Network
K Abbasi, P Razzaghi, A Ghareyazi, HR Rabiee
arXiv preprint arXiv:2405.07452, 2024
HGTDR: Advancing Drug Repurposing with Heterogeneous Graph Transformers
A Gharizadeh, K Abbasi, A Ghareyazi, MRK Mofrad, HR Rabiee
arXiv preprint arXiv:2405.08031, 2024
Design of a bioinformatics model to predict drug compound properties and its application in inhibition of HIV replication and BACE-1
K Abbasi, A Masoudi-Nejad
Genetic Engineering and Biosafety Journal 9 (2), 181-193, 2020
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Artikelen 1–19