Res. Asst. Ecehan ABDİK
Bioengineering

Ecehan ABDİK
Phone
+90 (262) -
Email
ecehanabdik@gtu.edu.tr
Office
, BYM009
Areas of interest
Computational Systems Biology, Metabolic Models, Bioinformatics, Parkinson's Disease
Detailed CV
ECEHANABDIK_CV_ENG.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.

Reconstruction of Brain-Specific Genome-Scale Metabolic Network Model for Mus musculus for the Investigation of Neurodegenerative Disease (MSc Thesis, 2019)</span>

  • Third Cycle (Doctoral): Gebze Teknik Üniversitesi, Biyoinformatik ve Sistem Biyolojisi, 2019-
  • Second Cycle (Master's): Gebze Teknik Üniversitesi, Biyoinformatik ve Sistem Biyolojisi, 2017-2019
  • First Cycle (Undergraduate): Marmara Üniversitesi,Biyomühendislik Bölümü,2011-2016