Sajjad Gharaghani

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 12

Top Topics

Matrix Factorization

Unsupervised Learning

Machine Learning Methods

Top Venues

Comput. Biol. Chem.

Pattern Recognit.

Inf. Process. Manag.

Publications

Alireza Dehghan, Karim Abbasi, Parvin Razzaghi, Hossein Banadkuki, Sajjad Gharaghani
CCL-DTI: contributing the contrastive loss in drug-target interaction prediction. BMC Bioinform. 25 (1) (2024)
S. Morteza Hashemi, Arash Zabihian, Mohsen Hooshmand, Sajjad Gharaghani
DRaW: prediction of COVID-19 antivirals by deep learning - an objection on using matrix factorization. BMC Bioinform. 24 (1) (2023)
Alireza Dehghan, Parvin Razzaghi, Karim Abbasi, Sajjad Gharaghani
TripletMultiDTI: Multimodal representation learning in drug-target interaction prediction with triplet loss function. Expert Syst. Appl. 232 (2023)
Farshid Shirafkan, Sajjad Gharaghani, Karim Rahimian, Reza Hasan Sajedi, Javad Zahiri
Moonlighting protein prediction using physico-chemical and evolutional properties via machine learning methods. BMC Bioinform. 22 (1) (2021)
Farshid Shirafkan, Sajjad Gharaghani, Karim Rahimian, Reza Hasan Sajedi, Javad Zahiri
Correction to: Moonlighting protein prediction using physico‑chemical and evolutional properties via machine learning methods. BMC Bioinform. 22 (1) (2021)
Seyedeh Zahra Sajadi, Mohammad Ali Zare Chahooki, Sajjad Gharaghani, Karim Abbasi
AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders. BMC Bioinform. 22 (1) (2021)
Soheila Shabani-Mashcool, Sayed-Amir Marashi, Sajjad Gharaghani
NDDSA: A network- and domain-based method for predicting drug-side effect associations. Inf. Process. Manag. 57 (6) (2020)
Sedighe Sadat Jafaripour, Sajjad Gharaghani, Elmira Nazarshodeh, Shozeb Haider, Ali Akbar Saboury
In silico drug repositioning of FDA-approved drugs to predict new inhibitors for alpha-synuclein aggregation. Comput. Biol. Chem. 88 (2020)
Razieh Sheikhpour, Mehdi Agha Sarram, Sajjad Gharaghani, Mohammad Ali Zare Chahooki
A robust graph-based semi-supervised sparse feature selection method. Inf. Sci. 531 (2020)
Elmira Nazarshodeh, Sajjad Gharaghani
Toward a hierarchical virtual screening and toxicity risk analysis for identifying novel CA XII inhibitors. Biosyst. 162 (2017)
Razieh Sheikhpour, Mehdi Agha Sarram, Sajjad Gharaghani, Mohammad Ali Zare Chahooki
A Survey on semi-supervised feature selection methods. Pattern Recognit. 64 (2017)
Zohreh Amini, Mohammad Hossein Fatemi, Sajjad Gharaghani
Hybrid docking-QSAR studies of DPP-IV inhibition activities of a series of aminomethyl-piperidones. Comput. Biol. Chem. 64 (2016)