Tezler

Biyomühendislik - Yüksek Lisans

• The Use of Electrical Stimulation to Enhance Wound Healing

Biyomühendislik - Doktora

Biyoinformatik ve Sistem Biyolojisi - Yüksek Lisans

• Computational investigation of potential allosteric ERK5 kinase inhibitors
• Computational investigation of peptide modulation of pMHC dynamics
• Mapping Binding Pocket Similarities in the Multiscale Interactome: Unveiling Novel Interactions for Multi-Target Drug Discovery
• Differential transcript usage in Alzheimer's disease  to detect splicing dysregulation and identify perturbed protein subnetworks
• An RNA-Seq based network approach to elucidate molecular mechanisms of asymptomatic Alzheimer's disease
• Agent Bassed Mathematical Modelling of Brain Tissues and Tumors
• Analysis of novel non-apoptotic cell death mechanism anddiagnostic gene signatures based on bioinformatics and machinelearning methods
• Variant Identification and Analysis Using Single-Cell Genome Data and Effects of Variatns on Cell Growth
• Investigation of drug response mechanisms in murine melanoma models via scRNA-seq data analysis

Biyoinformatik ve Sistem Biyolojisi - Doktora

• Determination of microbial biomarkers from metagenome data for early diagnosis and screening system in colon cancer and microbial gene targeted therapy approach
• Investigation of tumor heterogeneity and characteristics in 3D mathematical models
• Discovery and Modelling of Error Patterns in Sequencing Data by Transformer Models
• Investigation Of Enhancer-Protein-Promoter Interactions Within Regulatory Loops
• Identification of Alternative Splicing Events in Cancer Using Single-Cell and Bulk RNA-Seq
• Lewy cisimciği hastalıkları için snRNA-Seq verisi kullanılarak ağ tabanlı tanısal biyobelirteç ve yeniden konumlandırılmış ilaç tahmini
• Metabolic dysfunction in Alzheimer’s disease: Computational prediction of metabolic reaction rates in different brain regions by deconvoluting transcriptome and proteome data
• Genome-scale metabolic modeling in predicting biomarkers and extracellular metabolite production for Parkinson’s disease from transcriptome data
• Personalized Molecular Interaction Models for Alzheimer's Disease by Utilizing Multi-Layer Information in RNA-seq Data
• Network-based Modelling of Epigenetic Roles of Metabolic Alterations in Parkinson’s and Alzheimer’s Disease through Multi-omic Data Integration
• Genome-scale metabolic modeling of Drosophila melanogaster to unlock Parkinson’s Disease-related metabolic processes
• Genome and Transcriptome-based Prediction of Metabolic Alterations and Drug Targets In Alzheimer’s Disease