Arş. Gör.
Ecehan ABDİK
Biyomühendislik

- Telefon
- (262) -
- E-Posta
- ecehanabdik@gtu.edu.tr
- Ofis
- , Biyomühendislik Binası, BYM009
- Çalışma alanları
- Hesaplamalı Sistem Biyolojisi, Metabolik Modeller, Biyoinformatik, Parkinson Hastalığı
- Detaylı özgeçmiş
- ECEHANABDİK_CV.pdf
Lüleci, H. B., Uzuner, D., Cesur, M. F., İlgün, A., Düz, E., Abdik, E., ... & Çakır, T. (2024). A benchmark of RNA-seq data normalization methods for transcriptome mapping on human genome-scale metabolic networks. npj Systems Biology and Applications, 10(1), 124.
Abdik, E., & Çakır, T. (2024). Transcriptome-based biomarker prediction for Parkinson’s disease using genome-scale metabolic modeling. Scientific Reports, 14(1), 585.
Odongo, R., Bellur, O., Abdik, E., & Çakır, T. (2023). Brain-wide transcriptome-based metabolic alterations in Parkinson's disease: human inter-region and human-experimental model correlations. Molecular Omics, 19(7), 522-537.
Abdik, E., Çakır, T. (2021). Systematic investigation of mouse models of Parkinson's disease by transcriptome mapping on a brain-specific genome-scale metabolic network. Molecular Omics, 17(4), 492-502.
Çakır, T., Kökrek, E., Avşar, G., Abdik, E., Pir, P. (2019). Next-Generation Genome-Scale Models Incorporating Multilevel ‘Omics Data: From Yeast to Human. Yeast Systems Biology: Methods and Protocols, 347-363.
Cesur, M. F., Abdik, E., Güven-Gülhan, Ü., Durmuş, S., &Çakır, T. (2018). Computational systems biology of metabolism in infection. Metabolic interaction in infection, 235-282.