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Frontiers in Genetics|December 16, 2020
Classifying Breast Cancer Molecular Subtypes by Using Deep Clustering ApproachNarjes Rohani, Changiz EslahchiScientific Reports|September 22, 2019
Drug-Drug Interaction Predicting by Neural Network Using Integrated SimilarityNarjes Rohani, Changiz EslahchiPeerj|March 8, 2021
DisCoVering potential candidates of RNAi-based therapy for COVID-19 using computational methodsNarjes Rohani, Fatemeh Ahmadi Moughari, Changiz EslahchiFrontiers in Genetics|March 17, 2020
DSPLMF: A Method for Cancer Drug Sensitivity Prediction Using a Novel Regularization Approach in Logistic Matrix FactorizationAkram Emdadi, Changiz EslahchiJournal of Bioinformatics and Computational Biology|December 1, 2017
Comparison of different approaches for identifying subnetworks in metabolic networksAbolfazl Rezvan, Changiz EslahchiBioinformatics Advances|November 11, 2025
PSO-FeatureFusion: a general framework for fusing heterogeneous features via particle swarm optimizationRaziyeh Masumshah, Changiz EslahchiBioinformatics Advances|September 13, 2023
DPSP: a multimodal deep learning framework for polypharmacy side effects predictionRaziyeh Masumshah, Changiz EslahchiJournal of Bioinformatics and Computational Biology|December 20, 2021
Clinical drug response prediction from preclinical cancer cell lines by logistic matrix factorization approachAkram Emdadi, Changiz EslahchiBMC Bioinformatics|January 29, 2021
Auto-HMM-LMF: feature selection based method for prediction of drug response via autoencoder and hidden Markov modelAkram Emdadi, Changiz EslahchiScientific Reports|August 30, 2020
ADRML: anticancer drug response prediction using manifold learningFatemeh Ahmadi Moughari, Changiz EslahchiPageof 8