Professor
Update: 2024-11-28
Changiz Eslahchi
Mathematical Sciences / Computer Science
P.H.D dissertations
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Identification of hotspot mutations in cancer related proteins by comparing protein 3D structures
Mohamad Houssein Hoballa 2023 -
Network-based approach for predicting drug-response
Fatemeh Yassaee 2021 -
A new machine learning approach for drug response using various types of data
Fatemeh Ahmadi Moughari 2021 -
Investigating the Mechanism and Drug Design for Acute Lymphocytic Leukemia and Amyotrophic Lateral Sclerosis Diseases
Ahmad Shahir Sadr 2021 -
A new method for predicting cancer drug response using recommender systems
Akram Emdadi 2021 -
Abolfazl Rezvan 2018 -
Soheil Jahangiri Tazehkand 2018 -
Fateme Sadat Movahedi 2015 -
Reza Hassanzadeh 2014 -
Hadi Poormohammadi 2013 -
Mahnaz Habibi 2010
Master Theses
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Analysis of data security methods in federated learning in organizational applications
Mostafa Nazari 2024 -
Predicting Drug Combination Concentrations using Matrix Factorization in complex number number
Mohammad Abdollahi 2024 -
A novel method for football player selection and team formation leveraging deep learning and graph theory
Mahdi Nouraie 2023 -
Graph coloring, Chromatic number, Connectivity number of Random Geometry Graph Corresponding to Wireless Ad-Hoc Networks
Ayad Sami Kadhim Alemarah 2023 -
A method of fusion that is based on graphs to anticipate interactions Multilevel functionality
Nooruldeen Abbas Hameed Al-Noori 2023 -
Predicting drug synergy and discovering new drug combinations based on graph autoencoder and convolutional neural network
Faisal Ghazi Abdulsahib Al-Farhan 2023 -
Target controllability of complex networks in order to minimize the mediators by dynamic programming approach
Seyedeh fatemeh Khezri 2023 -
Improving genome scaffolding with a deep learning approach using Hi-C data heatmaps
Sayeh Sobhani 2023 -
Predicting drug synergy by finding optimal subset of cell lines based on machine learning approach
Soodabeh Zakeri 2023 -
Graph Neural Network Analysis of Medical Images
Parsa Esfahanian 2023 -
Metagenomic binning using assembly graph
Amin Darabi 2022 -
A statistical method to detect cancer biomarkers from significant set of gene
Maryam Maghsoudi 2021 -
A method to predict cancer driver genes in protein families
Zahra Ghorbani jirandeh 2021 -
predicting drug interactions with graph convolutional neural networks
Razieh Masumshah 2021 -
Improvement of mRNA subcellular localization prediction using deep neural networks
Negin Sadat Babaeiha 2021 -
Drug-Drug Interaction Prediction by Recommender System Approach
Bahareh Levian 2020 -
Complex-based Feature Selection in Gene Expression Analysis
Behnam Reihani Matanagh 2020 -
Deep learning network designing for DNA sequence detection based on sequencer device signals
Adel Abedi 2019 -
Prediction of drug-drug interactions using graph-based ensemble learning
Elham Nabian 2019 -
Classifying cancer molecular subtypes by machine learning approach
Narjes Rohani 2019 -
A Survey Comparison of methods in drug-target interaction prediction;
Mihammad Amin Khodamoradi 2019 -
Sayyed Hadi Mahmoodi 2019 -
predicting drug-drug interaction using recommender systems
Maryam Mohamadi 2019 -
Sayed Mohammad Razavi 2018 -
Ruhallah Jamali 2018 -
Fatemeh Abbasi 2017 -
Mehrdad Jahanbani Fard 2017 -
Mohammad Taheri 2016 -
Narges Reza 2016 -
Farshid Javadi 2016 -
Masoomeh Sadeghi Damavandi 2016 -
Morteza Milani 2015 -
Vahid Ashrafian 2015 -
Elnaz Mirzaei Mehrabad 2014 -
Omid Sharifi 2014 -
Amaneh Kochakzadeh 2014 -
Nesa Khalili 2014 -
Bahareh Alipanahi Ramandi 2014 -
Hamid Tarakomi 2014 -
Elaheh Shaei Shahraei 2014 -
Mazaher Maghsoodloo 2014 -
Hassan Taheri 2012 -
2012 -
2012 -
Shahabeddin Haghi 2012 -
Soheyla Shabani Mashkool 2011 -
Hadis Mokhtvay 2011 -
2010 -
REZA HASSANZADEH 2010 -
Najmeh Firoozi 2009 -
Alireza Sheykhatar 2008 -
Tooraj Afghahi 2007